diff --git a/404.html b/404.html index 4043db7..bfbc459 100644 --- a/404.html +++ b/404.html @@ -37,7 +37,7 @@ pharmOncoX - 1.4.4 + 1.4.5 diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html index 44b1b9c..95556a1 100644 --- a/CODE_OF_CONDUCT.html +++ b/CODE_OF_CONDUCT.html @@ -16,7 +16,7 @@ pharmOncoX - 1.4.4 + 1.4.5 diff --git a/LICENSE-text.html b/LICENSE-text.html index c4589ab..eb8896a 100644 --- a/LICENSE-text.html +++ b/LICENSE-text.html @@ -16,7 +16,7 @@ pharmOncoX - 1.4.4 + 1.4.5 diff --git a/articles/index.html b/articles/index.html index 99b59e5..72b8f05 100644 --- a/articles/index.html +++ b/articles/index.html @@ -16,7 +16,7 @@ pharmOncoX - 1.4.4 + 1.4.5 diff --git a/articles/pharmOncoX.html b/articles/pharmOncoX.html index 00dbe27..89e9c8b 100644 --- a/articles/pharmOncoX.html +++ b/articles/pharmOncoX.html @@ -39,7 +39,7 @@ pharmOncoX - 1.4.4 + 1.4.5 @@ -122,38 +122,18 @@ Get BRAF-targeted d cache_dir = cache_dir, drug_targeted_agent = T, drug_target = c('BRAF')) -#> INFO [2023-09-01 14:25:08] Downloading remote dataset from Google Drive to cache_dir -#> INFO [2023-09-01 14:25:09] Reading from cache_dir = ' (/tmp/RtmpBhEKao'), argument force_download = F -#> INFO [2023-09-01 14:25:09] Object 'drug_map_name' sucessfully loaded -#> INFO [2023-09-01 14:25:09] md5 checksum is valid: aafe5e5a43a9eaa3d606db079200865f -#> INFO [2023-09-01 14:25:09] Retrieved 30211 records -#> INFO [2023-09-01 14:25:09] Downloading remote dataset from Google Drive to cache_dir -#> INFO [2023-09-01 14:25:19] Reading from cache_dir = ' (/tmp/RtmpBhEKao'), argument force_download = F -#> INFO [2023-09-01 14:25:19] Object 'drug_map_alias' sucessfully loaded -#> INFO [2023-09-01 14:25:19] md5 checksum is valid: bba52645dbfb432830e4b4ba888ca28f -#> INFO [2023-09-01 14:25:19] Retrieved 655802 records -#> INFO [2023-09-01 14:25:19] Downloading remote dataset from Google Drive to cache_dir -#> INFO [2023-09-01 14:25:21] Reading from cache_dir = ' (/tmp/RtmpBhEKao'), argument force_download = F -#> INFO [2023-09-01 14:25:21] Object 'drug_map_basic' sucessfully loaded -#> INFO [2023-09-01 14:25:21] md5 checksum is valid: db2d666d448ca1e437bb127b9aae7460 -#> INFO [2023-09-01 14:25:21] Retrieved 31146 records -#> INFO [2023-09-01 14:25:21] Downloading remote dataset from Google Drive to cache_dir -#> INFO [2023-09-01 14:25:22] Reading from cache_dir = ' (/tmp/RtmpBhEKao'), argument force_download = F -#> INFO [2023-09-01 14:25:22] Object 'drug_map_target' sucessfully loaded -#> INFO [2023-09-01 14:25:22] md5 checksum is valid: 86bab9ec69d7ad2edca64d4ceae1440c -#> INFO [2023-09-01 14:25:22] Retrieved 38127 records -#> INFO [2023-09-01 14:25:22] Downloading remote dataset from Google Drive to cache_dir -#> INFO [2023-09-01 14:25:28] Reading from cache_dir = ' (/tmp/RtmpBhEKao'), argument force_download = F -#> INFO [2023-09-01 14:25:28] Object 'drug_map_indication' sucessfully loaded -#> INFO [2023-09-01 14:25:28] md5 checksum is valid: ae749b0cf93f760651c0e459c3fef232 -#> INFO [2023-09-01 14:25:28] Retrieved 58866 records -#> INFO [2023-09-01 14:25:32] Record set satisfying user-defined criteria: n = 329 -#> INFO [2023-09-01 14:25:32] Collapsing record set - providing output on a 'per_drug_target_indication' resolution -#> INFO [2023-09-01 14:25:32] Final record set: n = 240 records +#> INFO [2023-10-06 13:44:15] Downloading remote dataset from Google Drive to cache_dir +#> INFO [2023-10-06 13:44:17] Downloading remote dataset from Google Drive to cache_dir +#> INFO [2023-10-06 13:44:31] Downloading remote dataset from Google Drive to cache_dir +#> INFO [2023-10-06 13:44:38] Downloading remote dataset from Google Drive to cache_dir +#> INFO [2023-10-06 13:44:40] Downloading remote dataset from Google Drive to cache_dir +#> INFO [2023-10-06 13:44:50] Record set satisfying user-defined criteria: n = 328 +#> INFO [2023-10-06 13:44:50] Collapsing record set - providing output on a 'per_drug_target_indication' resolution +#> INFO [2023-10-06 13:44:50] Final record set: n = 239 records ## Number of drug records nrow(drugs$records) -#> [1] 240 +#> [1] 239 ## Column names of drug records colnames(drugs$records) @@ -212,8 +192,8 @@ G dom = "Bfrtip") ) - - + + Get immune checkpoint inhibitors, list per drug-target entry @@ -261,8 +241,8 @@ Get immune dom = "Bfrtip") ) - - + + Get immune checkpoint inhibitors indicated for tumor subtypes within @@ -311,8 +291,8 @@ = "Bfrtip") ) - - + + Get antimetabolite drugs @@ -322,24 +302,24 @@ Get antimetabolite drugsdrugs <- get_drugs( cache_dir = cache_dir, output_resolution = "drug") -#> INFO [2023-09-01 14:25:48] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:48] Object 'drug_map_name' sucessfully loaded -#> INFO [2023-09-01 14:25:48] Retrieved n = 30211 records -#> INFO [2023-09-01 14:25:49] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:49] Object 'drug_map_alias' sucessfully loaded -#> INFO [2023-09-01 14:25:49] Retrieved n = 655802 records -#> INFO [2023-09-01 14:25:49] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:49] Object 'drug_map_basic' sucessfully loaded -#> INFO [2023-09-01 14:25:49] Retrieved n = 31146 records -#> INFO [2023-09-01 14:25:49] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:49] Object 'drug_map_target' sucessfully loaded -#> INFO [2023-09-01 14:25:49] Retrieved n = 38127 records -#> INFO [2023-09-01 14:25:49] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:49] Object 'drug_map_indication' sucessfully loaded -#> INFO [2023-09-01 14:25:49] Retrieved n = 58866 records -#> INFO [2023-09-01 14:25:52] Record set satisfying user-defined criteria: n = 74633 -#> INFO [2023-09-01 14:25:52] Collapsing record set - providing output on a 'per_drug' resolution -#> INFO [2023-09-01 14:25:53] Final record set: n = 1162 records +#> INFO [2023-10-06 13:45:06] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:06] Object 'drug_map_name' sucessfully loaded +#> INFO [2023-10-06 13:45:06] Retrieved n = 30298 records +#> INFO [2023-10-06 13:45:06] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:06] Object 'drug_map_alias' sucessfully loaded +#> INFO [2023-10-06 13:45:06] Retrieved n = 655065 records +#> INFO [2023-10-06 13:45:06] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:06] Object 'drug_map_basic' sucessfully loaded +#> INFO [2023-10-06 13:45:06] Retrieved n = 31232 records +#> INFO [2023-10-06 13:45:06] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:06] Object 'drug_map_target' sucessfully loaded +#> INFO [2023-10-06 13:45:06] Retrieved n = 38215 records +#> INFO [2023-10-06 13:45:07] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:07] Object 'drug_map_indication' sucessfully loaded +#> INFO [2023-10-06 13:45:07] Retrieved n = 56512 records +#> INFO [2023-10-06 13:45:10] Record set satisfying user-defined criteria: n = 72161 +#> INFO [2023-10-06 13:45:10] Collapsing record set - providing output on a 'per_drug' resolution +#> INFO [2023-10-06 13:45:10] Final record set: n = 1079 records drugs$records <- drugs$records |> dplyr::filter( @@ -366,8 +346,8 @@ Get antimetabolite drugs dom = "Bfrtip") ) - - + + Get taxanes @@ -377,24 +357,24 @@ Get taxanesdrugs <- get_drugs( cache_dir = cache_dir, output_resolution = "drug") -#> INFO [2023-09-01 14:25:53] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:53] Object 'drug_map_name' sucessfully loaded -#> INFO [2023-09-01 14:25:53] Retrieved n = 30211 records -#> INFO [2023-09-01 14:25:53] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:53] Object 'drug_map_alias' sucessfully loaded -#> INFO [2023-09-01 14:25:53] Retrieved n = 655802 records -#> INFO [2023-09-01 14:25:54] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:54] Object 'drug_map_basic' sucessfully loaded -#> INFO [2023-09-01 14:25:54] Retrieved n = 31146 records -#> INFO [2023-09-01 14:25:54] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:54] Object 'drug_map_target' sucessfully loaded -#> INFO [2023-09-01 14:25:54] Retrieved n = 38127 records -#> INFO [2023-09-01 14:25:54] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:54] Object 'drug_map_indication' sucessfully loaded -#> INFO [2023-09-01 14:25:54] Retrieved n = 58866 records -#> INFO [2023-09-01 14:25:57] Record set satisfying user-defined criteria: n = 74633 -#> INFO [2023-09-01 14:25:57] Collapsing record set - providing output on a 'per_drug' resolution -#> INFO [2023-09-01 14:25:57] Final record set: n = 1162 records +#> INFO [2023-10-06 13:45:10] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:10] Object 'drug_map_name' sucessfully loaded +#> INFO [2023-10-06 13:45:10] Retrieved n = 30298 records +#> INFO [2023-10-06 13:45:11] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:11] Object 'drug_map_alias' sucessfully loaded +#> INFO [2023-10-06 13:45:11] Retrieved n = 655065 records +#> INFO [2023-10-06 13:45:11] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:11] Object 'drug_map_basic' sucessfully loaded +#> INFO [2023-10-06 13:45:11] Retrieved n = 31232 records +#> INFO [2023-10-06 13:45:11] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:11] Object 'drug_map_target' sucessfully loaded +#> INFO [2023-10-06 13:45:11] Retrieved n = 38215 records +#> INFO [2023-10-06 13:45:11] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:11] Object 'drug_map_indication' sucessfully loaded +#> INFO [2023-10-06 13:45:11] Retrieved n = 56512 records +#> INFO [2023-10-06 13:45:14] Record set satisfying user-defined criteria: n = 72161 +#> INFO [2023-10-06 13:45:14] Collapsing record set - providing output on a 'per_drug' resolution +#> INFO [2023-10-06 13:45:15] Final record set: n = 1079 records drugs$records <- drugs$records |> dplyr::filter( @@ -421,8 +401,8 @@ Get taxanes= "Bfrtip") ) - - + + Get platinum compounds @@ -432,24 +412,24 @@ Get platinum compoundsdrugs <- get_drugs( cache_dir = cache_dir, output_resolution = "drug") -#> INFO [2023-09-01 14:25:57] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:57] Object 'drug_map_name' sucessfully loaded -#> INFO [2023-09-01 14:25:57] Retrieved n = 30211 records -#> INFO [2023-09-01 14:25:58] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:58] Object 'drug_map_alias' sucessfully loaded -#> INFO [2023-09-01 14:25:58] Retrieved n = 655802 records -#> INFO [2023-09-01 14:25:58] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:58] Object 'drug_map_basic' sucessfully loaded -#> INFO [2023-09-01 14:25:58] Retrieved n = 31146 records -#> INFO [2023-09-01 14:25:58] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:58] Object 'drug_map_target' sucessfully loaded -#> INFO [2023-09-01 14:25:58] Retrieved n = 38127 records -#> INFO [2023-09-01 14:25:58] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F -#> INFO [2023-09-01 14:25:58] Object 'drug_map_indication' sucessfully loaded -#> INFO [2023-09-01 14:25:58] Retrieved n = 58866 records -#> INFO [2023-09-01 14:26:01] Record set satisfying user-defined criteria: n = 74633 -#> INFO [2023-09-01 14:26:01] Collapsing record set - providing output on a 'per_drug' resolution -#> INFO [2023-09-01 14:26:02] Final record set: n = 1162 records +#> INFO [2023-10-06 13:45:15] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:15] Object 'drug_map_name' sucessfully loaded +#> INFO [2023-10-06 13:45:15] Retrieved n = 30298 records +#> INFO [2023-10-06 13:45:16] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:16] Object 'drug_map_alias' sucessfully loaded +#> INFO [2023-10-06 13:45:16] Retrieved n = 655065 records +#> INFO [2023-10-06 13:45:16] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:16] Object 'drug_map_basic' sucessfully loaded +#> INFO [2023-10-06 13:45:16] Retrieved n = 31232 records +#> INFO [2023-10-06 13:45:16] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:16] Object 'drug_map_target' sucessfully loaded +#> INFO [2023-10-06 13:45:16] Retrieved n = 38215 records +#> INFO [2023-10-06 13:45:16] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F +#> INFO [2023-10-06 13:45:16] Object 'drug_map_indication' sucessfully loaded +#> INFO [2023-10-06 13:45:16] Retrieved n = 56512 records +#> INFO [2023-10-06 13:45:19] Record set satisfying user-defined criteria: n = 72161 +#> INFO [2023-10-06 13:45:19] Collapsing record set - providing output on a 'per_drug' resolution +#> INFO [2023-10-06 13:45:20] Final record set: n = 1079 records drugs$records <- drugs$records |> dplyr::filter( @@ -476,8 +456,8 @@ Get platinum compounds dom = "Bfrtip") ) - - + + @@ -494,10 +474,10 @@ R biomarkers <- get_biomarkers( cache_dir = cache_dir) -#> INFO [2023-09-01 14:26:02] Downloading remote dataset from Google Drive to cache_dir -#> INFO [2023-09-01 14:26:05] Reading from cache_dir = ' (/tmp/RtmpBhEKao'), argument force_download = F -#> INFO [2023-09-01 14:26:05] Object 'biomarkers' sucessfully loaded -#> INFO [2023-09-01 14:26:05] md5 checksum is valid: f4523f47b77d68beda72d1f9c46d96c7 +#> INFO [2023-10-06 13:45:20] Downloading remote dataset from Google Drive to cache_dir +#> INFO [2023-10-06 13:45:24] Reading from cache_dir = ' (/tmp/RtmpT04Il1'), argument force_download = F +#> INFO [2023-10-06 13:45:24] Object 'biomarkers' sucessfully loaded +#> INFO [2023-10-06 13:45:24] md5 checksum is valid: fe0159f12bb564506cdf1087cfca4b99 brca1_biomarkers <- list() for(source in c('civic','cgi')){ @@ -547,8 +527,8 @@ R dom = "Bfrtip") ) - - + + @@ -579,21 +559,21 @@ Session Info#> [1] stats graphics grDevices utils datasets methods base #> #> other attached packages: -#> [1] pharmOncoX_1.4.4 +#> [1] pharmOncoX_1.4.5 #> #> loaded via a namespace (and not attached): -#> [1] jsonlite_1.8.7 dplyr_1.1.2 compiler_4.3.1 crayon_1.5.2 +#> [1] jsonlite_1.8.7 dplyr_1.1.3 compiler_4.3.1 crayon_1.5.2 #> [5] tidyselect_1.2.0 stringr_1.5.0 assertthat_0.2.1 jquerylib_0.1.4 #> [9] systemfonts_1.0.4 textshaping_0.3.6 yaml_2.3.7 fastmap_1.1.1 -#> [13] R6_2.5.1 generics_0.1.3 curl_5.0.2 knitr_1.43 +#> [13] R6_2.5.1 generics_0.1.3 curl_5.1.0 knitr_1.44 #> [17] htmlwidgets_1.6.2 tibble_3.2.1 desc_1.4.2 rprojroot_2.0.3 #> [21] bslib_0.5.1 pillar_1.9.0 rlang_1.1.1 DT_0.29 #> [25] utf8_1.2.3 cachem_1.0.8 stringi_1.7.12 lgr_0.4.4 #> [29] xfun_0.40 fs_1.6.3 sass_0.4.7 memoise_2.0.1 -#> [33] cli_3.6.1 withr_2.5.0 pkgdown_2.0.7 magrittr_2.0.3 +#> [33] cli_3.6.1 withr_2.5.1 pkgdown_2.0.7 magrittr_2.0.3 #> [37] crosstalk_1.2.0 digest_0.6.33 lifecycle_1.0.3 vctrs_0.6.3 -#> [41] evaluate_0.21 gargle_1.5.2 glue_1.6.2 ragg_1.2.5 -#> [45] googledrive_2.1.1 fansi_1.0.4 httr_1.4.7 rmarkdown_2.24 +#> [41] evaluate_0.22 gargle_1.5.2 glue_1.6.2 ragg_1.2.5 +#> [45] googledrive_2.1.1 fansi_1.0.4 httr_1.4.7 rmarkdown_2.25 #> [49] purrr_1.0.2 ellipsis_0.3.2 pkgconfig_2.0.3 tools_4.3.1 #> [53] htmltools_0.5.6 diff --git a/authors.html b/authors.html index 5271edd..8e59b42 100644 --- a/authors.html +++ b/authors.html @@ -16,7 +16,7 @@ pharmOncoX - 1.4.4 + 1.4.5 @@ -65,12 +65,12 @@ Authors Citation Source: inst/CITATION - Nakken S. (2023) pharmOncoX: Targeted and non-targeted anti-cancer drugs and drug regimens. R package version 1.4.4. (https://github.com/sigven/pharmOncoX) + Nakken S. (2023) pharmOncoX: Targeted and non-targeted anti-cancer drugs and drug regimens. R package version 1.4.5. (https://github.com/sigven/pharmOncoX) @Manual{, title = {pharmOncoX: Targeted and non-targeted anti-cancer drugs and drug regimens}, author = {Sigve Nakken}, year = {2023}, - note = {R package version 1.4.4}, + note = {R package version 1.4.5}, url = {https://github.com/sigven/pharmOncoX}, } diff --git a/index.html b/index.html index 1c2d6b4..9fd6e50 100644 --- a/index.html +++ b/index.html @@ -55,7 +55,7 @@ pharmOncoX - 1.4.4 + 1.4.5 diff --git a/news/index.html b/news/index.html index c4601d0..be88778 100644 --- a/news/index.html +++ b/news/index.html @@ -16,7 +16,7 @@ pharmOncoX - 1.4.4 + 1.4.5 @@ -53,6 +53,13 @@ Source: NEWS.md + +Version 1.4.5 (October 6th 2023) +Updated NCI Thesaurus - 23.09d +Updated CIViC data +Added drug class (ATC) to get_on_off_label_drugs() + + Version 1.4.4 (September 1st 2023) Updated NCI Thesaurus - 23.08d diff --git a/pkgdown.yml b/pkgdown.yml index 7d84e49..e5e8384 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -3,7 +3,7 @@ pkgdown: 2.0.7 pkgdown_sha: ~ articles: pharmOncoX: pharmOncoX.html -last_built: 2023-09-01T14:25Z +last_built: 2023-10-06T13:44Z urls: reference: https://sigven.github.io/pharmOncoX/reference article: https://sigven.github.io/pharmOncoX/articles diff --git a/reference/get_biomarkers.html b/reference/get_biomarkers.html index 4dc62e1..81b9384 100644 --- a/reference/get_biomarkers.html +++ b/reference/get_biomarkers.html @@ -32,7 +32,7 @@ pharmOncoX - 1.4.4 + 1.4.5 diff --git a/reference/get_drug_records.html b/reference/get_drug_records.html index cdfb1a6..2e89c69 100644 --- a/reference/get_drug_records.html +++ b/reference/get_drug_records.html @@ -16,7 +16,7 @@ pharmOncoX - 1.4.4 + 1.4.5 diff --git a/reference/get_drugs.html b/reference/get_drugs.html index 6a50021..3122ec8 100644 --- a/reference/get_drugs.html +++ b/reference/get_drugs.html @@ -28,7 +28,7 @@ pharmOncoX - 1.4.4 + 1.4.5 diff --git a/reference/get_on_off_label_drugs.html b/reference/get_on_off_label_drugs.html index 7f52cc7..f8f937b 100644 --- a/reference/get_on_off_label_drugs.html +++ b/reference/get_on_off_label_drugs.html @@ -16,7 +16,7 @@ pharmOncoX - 1.4.4 + 1.4.5 diff --git a/reference/index.html b/reference/index.html index dbae656..2298270 100644 --- a/reference/index.html +++ b/reference/index.html @@ -16,7 +16,7 @@ pharmOncoX - 1.4.4 + 1.4.5 diff --git a/reference/tidyeval.html b/reference/tidyeval.html index 8a7897e..e7e9553 100644 --- a/reference/tidyeval.html +++ b/reference/tidyeval.html @@ -16,7 +16,7 @@ pharmOncoX - 1.4.4 + 1.4.5 diff --git a/search.json b/search.json index 664713a..f2b2af7 100644 --- a/search.json +++ b/search.json @@ -1 +1 @@ -[{"path":[]},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement [INSERT CONTACT METHOD]. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.0, available https://www.contributor-covenant.org/version/2/0/ code_of_conduct.html. Community Impact Guidelines inspired Mozilla’s code conduct enforcement ladder. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https:// www.contributor-covenant.org/translations.","code":""},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"installation","dir":"Articles","previous_headings":"","what":"Installation","title":"Getting started","text":"","code":"if (!(\"remotes\" %in% installed.packages()) { install.packages(\"remotes\") } remotes::install_github('sigven/pharmOncoX')"},{"path":[]},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"get-braf-targeted-drugs-list-records-per-indication","dir":"Articles","previous_headings":"Retrieval of drugs - examples","what":"Get BRAF-targeted drugs, list records per indication","title":"Getting started","text":"","code":"library(pharmOncoX) ## load the data cache_dir <- tempdir() drugs <- get_drugs( cache_dir = cache_dir, drug_targeted_agent = T, drug_target = c('BRAF')) #> INFO [2023-09-01 14:25:08] Downloading remote dataset from Google Drive to cache_dir #> INFO [2023-09-01 14:25:09] Reading from cache_dir = ' (/tmp/RtmpBhEKao'), argument force_download = F #> INFO [2023-09-01 14:25:09] Object 'drug_map_name' sucessfully loaded #> INFO [2023-09-01 14:25:09] md5 checksum is valid: aafe5e5a43a9eaa3d606db079200865f #> INFO [2023-09-01 14:25:09] Retrieved 30211 records #> INFO [2023-09-01 14:25:09] Downloading remote dataset from Google Drive to cache_dir #> INFO [2023-09-01 14:25:19] Reading from cache_dir = ' (/tmp/RtmpBhEKao'), argument force_download = F #> INFO [2023-09-01 14:25:19] Object 'drug_map_alias' sucessfully loaded #> INFO [2023-09-01 14:25:19] md5 checksum is valid: bba52645dbfb432830e4b4ba888ca28f #> INFO [2023-09-01 14:25:19] Retrieved 655802 records #> INFO [2023-09-01 14:25:19] Downloading remote dataset from Google Drive to cache_dir #> INFO [2023-09-01 14:25:21] Reading from cache_dir = ' (/tmp/RtmpBhEKao'), argument force_download = F #> INFO [2023-09-01 14:25:21] Object 'drug_map_basic' sucessfully loaded #> INFO [2023-09-01 14:25:21] md5 checksum is valid: db2d666d448ca1e437bb127b9aae7460 #> INFO [2023-09-01 14:25:21] Retrieved 31146 records #> INFO [2023-09-01 14:25:21] Downloading remote dataset from Google Drive to cache_dir #> INFO [2023-09-01 14:25:22] Reading from cache_dir = ' (/tmp/RtmpBhEKao'), argument force_download = F #> INFO [2023-09-01 14:25:22] Object 'drug_map_target' sucessfully loaded #> INFO [2023-09-01 14:25:22] md5 checksum is valid: 86bab9ec69d7ad2edca64d4ceae1440c #> INFO [2023-09-01 14:25:22] Retrieved 38127 records #> INFO [2023-09-01 14:25:22] Downloading remote dataset from Google Drive to cache_dir #> INFO [2023-09-01 14:25:28] Reading from cache_dir = ' (/tmp/RtmpBhEKao'), argument force_download = F #> INFO [2023-09-01 14:25:28] Object 'drug_map_indication' sucessfully loaded #> INFO [2023-09-01 14:25:28] md5 checksum is valid: ae749b0cf93f760651c0e459c3fef232 #> INFO [2023-09-01 14:25:28] Retrieved 58866 records #> INFO [2023-09-01 14:25:32] Record set satisfying user-defined criteria: n = 329 #> INFO [2023-09-01 14:25:32] Collapsing record set - providing output on a 'per_drug_target_indication' resolution #> INFO [2023-09-01 14:25:32] Final record set: n = 240 records ## Number of drug records nrow(drugs$records) #> [1] 240 ## Column names of drug records colnames(drugs$records) #> [1] \"drug_id\" \"drug_name\" #> [3] \"drug_type\" \"molecule_chembl_id\" #> [5] \"drug_action_type\" \"drug_alias\" #> [7] \"nci_concept_definition\" \"opentargets\" #> [9] \"drug_cancer_relevance\" \"inhibition_moa\" #> [11] \"is_salt\" \"is_adc\" #> [13] \"drug_blackbox_warning\" \"nci_t\" #> [15] \"target_symbol\" \"target_entrezgene\" #> [17] \"target_genename\" \"target_ensembl_gene_id\" #> [19] \"target_type\" \"drug_max_phase_indication\" #> [21] \"drug_approved_indication\" \"drug_frac_cancer_indications\" #> [23] \"drug_approved_noncancer\" \"drug_n_indications\" #> [25] \"drug_year_first_approval\" \"drug_max_ct_phase\" #> [27] \"disease_efo_id\" \"disease_efo_label\" #> [29] \"primary_site\" \"drug_clinical_id\" #> [31] \"drug_clinical_source\" \"atc_code_level1\" #> [33] \"atc_level1\" \"atc_code_level2\" #> [35] \"atc_level2\" \"atc_code_level3\" #> [37] \"atc_level3\""},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"get-braf-targeted-drugs-open-targets-platform-only-list-per-drug-only","dir":"Articles","previous_headings":"Retrieval of drugs - examples","what":"Get BRAF-targeted drugs, Open Targets Platform only, list per drug only","title":"Getting started","text":"","code":"drugs <- get_drugs( cache_dir = cache_dir, drug_targeted_agent = T, drug_action_inhibition = T, drug_target = c('BRAF'), drug_source_opentargets = T, output_resolution = \"drug\" ) drugs$records <- drugs$records |> dplyr::select( -c(\"drug_alias\", \"disease_main_group\", \"drug_clinical_id\")) |> dplyr::mutate( disease_indication = stringr::str_replace_all( disease_indication, \"\\\\|\",\", \") ) dt_drugtable_braf_inhibitors <- DT::datatable( drugs$records, escape = FALSE, extensions = c(\"Buttons\", \"Responsive\"), width = \"100%\", options = list( buttons = c(\"csv\", \"excel\"), dom = \"Bfrtip\") )"},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"get-immune-checkpoint-inhibitors-list-per-drug-target-entry","dir":"Articles","previous_headings":"Retrieval of drugs - examples","what":"Get immune checkpoint inhibitors, list per drug-target entry","title":"Getting started","text":"","code":"drugs <- get_drugs( cache_dir = cache_dir, drug_source_opentargets = F, drug_classified_cancer = T, output_resolution = \"drug2target\") drugs$records <- drugs$records |> dplyr::filter( ((!is.na(atc_level3) & atc_level3 == \"PD-1/PDL-1 inhibitors\") | (!is.na(target_symbol) & target_symbol == \"CTLA4\" | target_symbol == \"TIGIT\")) ) |> dplyr::select( -c(\"drug_alias\", \"disease_main_group\", \"drug_clinical_id\")) |> dplyr::mutate( disease_indication = stringr::str_replace_all( disease_indication, \"\\\\|\",\", \") ) |> dplyr::select( drug_id, drug_name, drug_type, target_symbol, target_genename, dplyr::everything() ) dt_drugtable_ici <- DT::datatable( drugs$records, escape = FALSE, extensions = c(\"Buttons\", \"Responsive\"), width = \"100%\", options = list( buttons = c(\"csv\", \"excel\"), dom = \"Bfrtip\") )"},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"get-immune-checkpoint-inhibitors-indicated-for-tumor-subtypes-within-colonrectum-list-per-drug-target-entry","dir":"Articles","previous_headings":"Retrieval of drugs - examples","what":"Get immune checkpoint inhibitors indicated for tumor subtypes within “Colon/Rectum”, list per drug-target entry","title":"Getting started","text":"","code":"drugs <- get_drugs( cache_dir = cache_dir, output_resolution = \"drug2target\", drug_source_opentargets = T, drug_indication_main = \"Colon/Rectum\") drugs$records <- drugs$records |> dplyr::filter( ((!is.na(atc_level3) & atc_level3 == \"PD-1/PDL-1 inhibitors\") | (!is.na(target_symbol) & target_symbol == \"CTLA4\" | target_symbol == \"TIGIT\")) ) |> dplyr::select( -c(\"drug_alias\", \"disease_main_group\", \"drug_clinical_id\")) |> dplyr::mutate( disease_indication = stringr::str_replace_all( disease_indication, \"\\\\|\",\", \") ) |> dplyr::select( drug_id, drug_name, drug_type, target_symbol, target_genename, dplyr::everything() ) dt_drugtable_ici_colon <- DT::datatable( drugs$records, escape = FALSE, extensions = c(\"Buttons\", \"Responsive\"), width = \"100%\", options = list( buttons = c(\"csv\", \"excel\"), dom = \"Bfrtip\") )"},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"get-antimetabolite-drugs","dir":"Articles","previous_headings":"Retrieval of drugs - examples","what":"Get antimetabolite drugs","title":"Getting started","text":"","code":"drugs <- get_drugs( cache_dir = cache_dir, output_resolution = \"drug\") #> INFO [2023-09-01 14:25:48] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:48] Object 'drug_map_name' sucessfully loaded #> INFO [2023-09-01 14:25:48] Retrieved n = 30211 records #> INFO [2023-09-01 14:25:49] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:49] Object 'drug_map_alias' sucessfully loaded #> INFO [2023-09-01 14:25:49] Retrieved n = 655802 records #> INFO [2023-09-01 14:25:49] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:49] Object 'drug_map_basic' sucessfully loaded #> INFO [2023-09-01 14:25:49] Retrieved n = 31146 records #> INFO [2023-09-01 14:25:49] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:49] Object 'drug_map_target' sucessfully loaded #> INFO [2023-09-01 14:25:49] Retrieved n = 38127 records #> INFO [2023-09-01 14:25:49] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:49] Object 'drug_map_indication' sucessfully loaded #> INFO [2023-09-01 14:25:49] Retrieved n = 58866 records #> INFO [2023-09-01 14:25:52] Record set satisfying user-defined criteria: n = 74633 #> INFO [2023-09-01 14:25:52] Collapsing record set - providing output on a 'per_drug' resolution #> INFO [2023-09-01 14:25:53] Final record set: n = 1162 records drugs$records <- drugs$records |> dplyr::filter( stringr::str_detect( atc_level2, \"ANTIMETABOLITES\" ) ) |> dplyr::select( -c(\"drug_alias\", \"disease_main_group\", \"drug_clinical_id\")) |> dplyr::mutate( disease_indication = stringr::str_replace_all( disease_indication, \"\\\\|\",\", \") ) dt_drugtable_metabolites <- DT::datatable( drugs$records, escape = FALSE, extensions = c(\"Buttons\", \"Responsive\"), width = \"100%\", options = list( buttons = c(\"csv\", \"excel\"), dom = \"Bfrtip\") )"},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"get-taxanes","dir":"Articles","previous_headings":"Retrieval of drugs - examples","what":"Get taxanes","title":"Getting started","text":"","code":"drugs <- get_drugs( cache_dir = cache_dir, output_resolution = \"drug\") #> INFO [2023-09-01 14:25:53] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:53] Object 'drug_map_name' sucessfully loaded #> INFO [2023-09-01 14:25:53] Retrieved n = 30211 records #> INFO [2023-09-01 14:25:53] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:53] Object 'drug_map_alias' sucessfully loaded #> INFO [2023-09-01 14:25:53] Retrieved n = 655802 records #> INFO [2023-09-01 14:25:54] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:54] Object 'drug_map_basic' sucessfully loaded #> INFO [2023-09-01 14:25:54] Retrieved n = 31146 records #> INFO [2023-09-01 14:25:54] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:54] Object 'drug_map_target' sucessfully loaded #> INFO [2023-09-01 14:25:54] Retrieved n = 38127 records #> INFO [2023-09-01 14:25:54] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:54] Object 'drug_map_indication' sucessfully loaded #> INFO [2023-09-01 14:25:54] Retrieved n = 58866 records #> INFO [2023-09-01 14:25:57] Record set satisfying user-defined criteria: n = 74633 #> INFO [2023-09-01 14:25:57] Collapsing record set - providing output on a 'per_drug' resolution #> INFO [2023-09-01 14:25:57] Final record set: n = 1162 records drugs$records <- drugs$records |> dplyr::filter( stringr::str_detect( atc_level3, \"Taxanes\" ) ) |> dplyr::select( -c(\"drug_alias\", \"disease_main_group\", \"drug_clinical_id\")) |> dplyr::mutate( disease_indication = stringr::str_replace_all( disease_indication, \"\\\\|\",\", \") ) dt_drugtable_taxanes <- DT::datatable( drugs$records, escape = FALSE, extensions = c(\"Buttons\", \"Responsive\"), width = \"100%\", options = list( buttons = c(\"csv\", \"excel\"), dom = \"Bfrtip\") )"},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"get-platinum-compounds","dir":"Articles","previous_headings":"Retrieval of drugs - examples","what":"Get platinum compounds","title":"Getting started","text":"","code":"drugs <- get_drugs( cache_dir = cache_dir, output_resolution = \"drug\") #> INFO [2023-09-01 14:25:57] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:57] Object 'drug_map_name' sucessfully loaded #> INFO [2023-09-01 14:25:57] Retrieved n = 30211 records #> INFO [2023-09-01 14:25:58] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:58] Object 'drug_map_alias' sucessfully loaded #> INFO [2023-09-01 14:25:58] Retrieved n = 655802 records #> INFO [2023-09-01 14:25:58] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:58] Object 'drug_map_basic' sucessfully loaded #> INFO [2023-09-01 14:25:58] Retrieved n = 31146 records #> INFO [2023-09-01 14:25:58] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:58] Object 'drug_map_target' sucessfully loaded #> INFO [2023-09-01 14:25:58] Retrieved n = 38127 records #> INFO [2023-09-01 14:25:58] Reading from cache_dir = '/tmp/RtmpBhEKao', argument force_download = F #> INFO [2023-09-01 14:25:58] Object 'drug_map_indication' sucessfully loaded #> INFO [2023-09-01 14:25:58] Retrieved n = 58866 records #> INFO [2023-09-01 14:26:01] Record set satisfying user-defined criteria: n = 74633 #> INFO [2023-09-01 14:26:01] Collapsing record set - providing output on a 'per_drug' resolution #> INFO [2023-09-01 14:26:02] Final record set: n = 1162 records drugs$records <- drugs$records |> dplyr::filter( stringr::str_detect( atc_level3, \"Platinum compounds\" ) ) |> dplyr::select( -c(\"drug_alias\", \"disease_main_group\", \"drug_clinical_id\")) |> dplyr::mutate( disease_indication = stringr::str_replace_all( disease_indication, \"\\\\|\",\", \") ) dt_drugtable_platins <- DT::datatable( drugs$records, escape = FALSE, extensions = c(\"Buttons\", \"Responsive\"), width = \"100%\", options = list( buttons = c(\"csv\", \"excel\"), dom = \"Bfrtip\") )"},{"path":[]},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"reported-associations-between-brca12-alterations-and-drug-sensitivity","dir":"Articles","previous_headings":"Retrieval of biomarkers","what":"Reported associations between BRCA1/2 alterations and drug sensitivity","title":"Getting started","text":"Get evidence CIViC CGI cancer drug sensitivity BRCA1/2 alterations (somatically (tumor) inherited/germline)","code":"biomarkers <- get_biomarkers( cache_dir = cache_dir) #> INFO [2023-09-01 14:26:02] Downloading remote dataset from Google Drive to cache_dir #> INFO [2023-09-01 14:26:05] Reading from cache_dir = ' (/tmp/RtmpBhEKao'), argument force_download = F #> INFO [2023-09-01 14:26:05] Object 'biomarkers' sucessfully loaded #> INFO [2023-09-01 14:26:05] md5 checksum is valid: f4523f47b77d68beda72d1f9c46d96c7 brca1_biomarkers <- list() for(source in c('civic','cgi')){ brca1_biomarkers[[source]] <- biomarkers$data[[source]]$variant |> dplyr::filter( !is.na(symbol) & (symbol == \"BRCA1\" | symbol == \"BRCA2\")) |> dplyr::group_by(variant_id, symbol, variant_consequence) |> dplyr::summarise( variant_alias = paste(variant_alias, collapse=\", \"), .groups = \"drop\") |> dplyr::inner_join( biomarkers$data[[source]]$clinical, by = \"variant_id\") |> dplyr::select( variant_id, symbol, variant_consequence, variant_alias, biomarker_source, biomarker_source_datestamp, molecular_profile_name, evidence_id, variant_origin, primary_site, evidence_id, source_id, evidence_url, therapeutic_context, evidence_description, evidence_type, evidence_level, clinical_significance) |> dplyr::distinct() |> dplyr::rename(literature_id = source_id) |> dplyr::filter(evidence_type == \"Predictive\") |> dplyr::select( symbol, primary_site, therapeutic_context, molecular_profile_name, evidence_level, dplyr::everything() ) } brca1_biomarkers_all <- dplyr::bind_rows(brca1_biomarkers[['civic']], brca1_biomarkers[['cgi']]) |> dplyr::arrange(evidence_level) dt_brca1_biomarkers <- DT::datatable( brca1_biomarkers_all, escape = FALSE, extensions = c(\"Buttons\", \"Responsive\"), width = \"100%\", options = list( buttons = c(\"csv\", \"excel\"), dom = \"Bfrtip\") )"},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"session-info","dir":"Articles","previous_headings":"","what":"Session Info","title":"Getting started","text":"","code":"# set eval = FALSE if you don't want this info (useful for reproducibility) # to appear sessionInfo() #> R version 4.3.1 (2023-06-16) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #> #> Matrix products: default #> BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so; LAPACK version 3.10.0 #> #> locale: #> [1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C LC_TIME=C.UTF-8 #> [4] LC_COLLATE=C.UTF-8 LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8 #> [7] LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C #> [10] LC_TELEPHONE=C LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C #> #> time zone: UTC #> tzcode source: system (glibc) #> #> attached base packages: #> [1] stats graphics grDevices utils datasets methods base #> #> other attached packages: #> [1] pharmOncoX_1.4.4 #> #> loaded via a namespace (and not attached): #> [1] jsonlite_1.8.7 dplyr_1.1.2 compiler_4.3.1 crayon_1.5.2 #> [5] tidyselect_1.2.0 stringr_1.5.0 assertthat_0.2.1 jquerylib_0.1.4 #> [9] systemfonts_1.0.4 textshaping_0.3.6 yaml_2.3.7 fastmap_1.1.1 #> [13] R6_2.5.1 generics_0.1.3 curl_5.0.2 knitr_1.43 #> [17] htmlwidgets_1.6.2 tibble_3.2.1 desc_1.4.2 rprojroot_2.0.3 #> [21] bslib_0.5.1 pillar_1.9.0 rlang_1.1.1 DT_0.29 #> [25] utf8_1.2.3 cachem_1.0.8 stringi_1.7.12 lgr_0.4.4 #> [29] xfun_0.40 fs_1.6.3 sass_0.4.7 memoise_2.0.1 #> [33] cli_3.6.1 withr_2.5.0 pkgdown_2.0.7 magrittr_2.0.3 #> [37] crosstalk_1.2.0 digest_0.6.33 lifecycle_1.0.3 vctrs_0.6.3 #> [41] evaluate_0.21 gargle_1.5.2 glue_1.6.2 ragg_1.2.5 #> [45] googledrive_2.1.1 fansi_1.0.4 httr_1.4.7 rmarkdown_2.24 #> [49] purrr_1.0.2 ellipsis_0.3.2 pkgconfig_2.0.3 tools_4.3.1 #> [53] htmltools_0.5.6"},{"path":[]},{"path":"https://sigven.github.io/pharmOncoX/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Sigve Nakken. Author, maintainer.","code":""},{"path":"https://sigven.github.io/pharmOncoX/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Nakken S. (2023) pharmOncoX: Targeted non-targeted anti-cancer drugs drug regimens. R package version 1.4.4. (https://github.com/sigven/pharmOncoX)","code":"@Manual{, title = {pharmOncoX: Targeted and non-targeted anti-cancer drugs and drug regimens}, author = {Sigve Nakken}, year = {2023}, note = {R package version 1.4.4}, url = {https://github.com/sigven/pharmOncoX}, }"},{"path":"https://sigven.github.io/pharmOncoX/index.html","id":"pharmoncox-","dir":"","previous_headings":"","what":"Molecularly targeted cancer drugs and biomarkers","title":"Molecularly targeted cancer drugs and biomarkers","text":"pharmOncoX provides access targeted non-targeted cancer drugs, including comprehensive annotations per target, drug mechanism--action, approval dates, clinical trial phases various indications etc. data largely based drug-target-indication associations provided Open Targets Platform (Ochoa et al., Nucleic Acids Res., 2021). Associations retrieved Open Targets Platform integrated cancer-relevant indications/conditions (provided sigven/phenOncoX), allowing user retrieve drugs indicated main tumor types (e.g. Lung, Colon/Rectum etc.) Drug-target associations Open Targets Platform furthermore integrated appended drug information NCI Thesaurus, showing also non-targeted cancer drugs (chemotherapeutic agents etc.), various drug regimens. provide anti-cancer drugs pharmOncoX drug class labeling Anatomical Therapeutic Chemical (ATC) Classification System, enabling filtering drugs according main mechanisms action. Currently (late April 2023), pharmOncoX built upon following releases external databases: Open Targets Platform (2023.02) ChEMBL (v31) NCI Thesaurus (23.04d)","code":""},{"path":"https://sigven.github.io/pharmOncoX/index.html","id":"getting-started","dir":"","previous_headings":"","what":"Getting started","title":"Molecularly targeted cancer drugs and biomarkers","text":"Installation instructions Usage examples","code":""},{"path":"https://sigven.github.io/pharmOncoX/index.html","id":"contact","dir":"","previous_headings":"","what":"Contact","title":"Molecularly targeted cancer drugs and biomarkers","text":"sigven ifi.uio.","code":""},{"path":"https://sigven.github.io/pharmOncoX/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Molecularly targeted cancer drugs and biomarkers","text":"Please note project released Contributor Code Conduct. participating project agree abide terms.","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_biomarkers.html","id":null,"dir":"Reference","previous_headings":"","what":"Get curated cancer biomarker datasets — get_biomarkers","title":"Get curated cancer biomarker datasets — get_biomarkers","text":"Downloads preprocessed datasets local cache directory returns curated set genomic biomarkers multiple sources (CIViC, CGI, MitelmanDB) dataset comes list object, three elements: metadata - data frame metadata regarding drug resources used data - list four elements ('civic','cgi','mitelmandb','custom_fusions') fpath - path cache file","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_biomarkers.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get curated cancer biomarker datasets — get_biomarkers","text":"","code":"get_biomarkers(cache_dir = NA, force_download = F)"},{"path":"https://sigven.github.io/pharmOncoX/reference/get_biomarkers.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get curated cancer biomarker datasets — get_biomarkers","text":"cache_dir Local directory data download force_download Logical indicating local cache force downloaded (.e. set TRUE re-download even data exists cache)","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_biomarkers.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get curated cancer biomarker datasets — get_biomarkers","text":"entry source-spefic (CGI, CIViC etc.) entry data list contains list three data frames: variant - list biomarker variants, extensively populated according variant aliases (identifer - column variant_id) clinical - cross-references variants recorded variant data frame clinical evidence items (identifier - column evidence_id) underlying literature evidence (identifier - column source_id) literature - lists literature source_id's listed clinical data frame","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_drug_records.html","id":null,"dir":"Reference","previous_headings":"","what":"Function that retrieves pharmOncoX data from Google Drive — get_drug_records","title":"Function that retrieves pharmOncoX data from Google Drive — get_drug_records","text":"Function retrieves pharmOncoX data Google Drive","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_drug_records.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function that retrieves pharmOncoX data from Google Drive — get_drug_records","text":"","code":"get_drug_records(cache_dir = NA, force_download = F)"},{"path":"https://sigven.github.io/pharmOncoX/reference/get_drug_records.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function that retrieves pharmOncoX data from Google Drive — get_drug_records","text":"cache_dir Local directory data download force_download Logical indicating local cache force downloaded (.e. set TRUE re-download even data exists cache)","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_drugs.html","id":null,"dir":"Reference","previous_headings":"","what":"Get antineoplastic drugs and drug regimens — get_drugs","title":"Get antineoplastic drugs and drug regimens — get_drugs","text":"Downloads preprocessed datasets local cache directory returns selected set drugs based various criteria set user. dataset comes list object, two elements: metadata - data frame metadata regarding drug resources used records - data frame drug records","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_drugs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get antineoplastic drugs and drug regimens — get_drugs","text":"","code":"get_drugs( cache_dir = NA, force_download = FALSE, exclude_salt_forms = TRUE, exclude_adc = TRUE, drug_targeted_agent = FALSE, drug_is_approved = FALSE, drug_target = NULL, drug_action_type = NULL, drug_indication_main = NULL, drug_source_opentargets = FALSE, drug_cancer_indication = TRUE, drug_classified_cancer = TRUE, drug_has_blackbox_warning = FALSE, drug_approval_year = 1939, drug_minimum_phase_any_indication = 0, output_resolution = \"drug2target2indication\", drug_action_inhibition = F )"},{"path":"https://sigven.github.io/pharmOncoX/reference/get_drugs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get antineoplastic drugs and drug regimens — get_drugs","text":"cache_dir local cache directory data retrieval force_download force download data remote repository even data exists cache exclude_salt_forms exclude salt forms drugs exclude_adc exclude antibody-drug conjugates (ADCs) drug_targeted_agent logical indicating resulting drug records contain drugs considered targeted agents (.e. chemotherapeutic drugs/immunosuppressants) drug_is_approved logical indicating resulting drug records contain approved drugs drug_target character vector drug targets (gene symbols) drug records included results drug_action_type character vector drug action types include drug record list - possible values \"INHIBITOR\",\"AGONIST\",\"MODULATOR\",\"ANTAGONIST\", \"BLOCKER\",\"ACTIVATOR\",\"BINDING AGENT\",\"OPENER\", \"STABILISER\",\"CROSS-LINKING AGENT\",DISRUPTING AGENT\",\"\" drug_indication_main character vector main tumor types drug(s) indicated. Possible values: \"Adrenal Gland\",\"Biliary Tract\", \"Bladder/Urinary Tract\",\"Bone\",\"Breast\",\"Cervix\",\"CNS/Brain\", \"Colon/Rectum\",\"Esophagus/Stomach\",\"Eye\",\"Head Neck\",\"Kidney\", \"Liver\",\"Lung\",\"Lymphoid\",\"Myeloid\",\"Ovary/Fallopian Tube\", \"Pancreas\",\"Penis\",\"Peripheral Nervous System\",\"Peritoneum\", \"Pleura\",\"Prostate\",\"Skin\",\"Soft Tissue\",\"Testis\",\"Thymus\", \"Thyroid\",\"Uterus\",\"Vulva/Vagina\" drug_source_opentargets logical indicating resulting drug records contain drug records Open Targets Platform/ChEMBL drug_cancer_indication logical indicating resulting drug records indicated cancer conditions (approved conditions, found clinical trials etc.) drug_classified_cancer logical indicating resulting drug records classified \"L\" class ATC ( \"ANTINEOPLASTIC IMMUNOMODULATING AGENTS\") drug_has_blackbox_warning logical indicating resulting drug records contain drugs black box warnings drug_approval_year include records drugs approved later date (year) drug_minimum_phase_any_indication include drug records clinical phase (indication) greater equal phase output_resolution dictate output record resolution ('drug','drug2target','drug2target2indication') drug_action_inhibition logical indicating return drug records inhibitory mechanism--action","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_drugs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get antineoplastic drugs and drug regimens — get_drugs","text":"records data frame contains following columns (selected columns shown based value output_resolution) drug_id - drug identifier (pharmaOncoX) drug_name - primary drug name (upper case, NCI Thesaurus) drug_type - type drug molecule (Antibody, small molecule etc) molecule_chembl_id - ChEMBL compound identifier drug_action_type - main action elicited drug (antagonist, inhibitor, stabiliser etc) drug_alias - collection unambiguous drug aliases (separated '|') nci_concept_definition - detailed description drug mechanism--action (NCI Thesaurus) opentargets - logical - drug found Open Targets Platform resource is_salt - logical - drug record represents salt form (excluded default) is_adc - logical - drug record represents antibody-drug conjugate (ADC - excluded default) drug_blacbox_warning - logical indicating drug blackbox warning nci_t - NCI thesaurus identifier target_symbol - gene symbol drug target target_entrezgene - Entrez gene identifier drug target target_genename - gene name/description drug target target_ensembl_gene_id - Ensembl gene identifier drug target target_type - type drug target (single protein, protein family etc.) drug_max_phase_indication - maximum clinical phase drug (given indication) drug_approved_indication - logical indicating drug approved indication drug_frac_cancer_indications - fraction drug indications cancers drug_approved_noncancer - logical indicating drug approved non-cancer disease drug_n_indications - number indications given drug (approved indications, clinical trials etc) drug_year_first_approval - year drug first approved drug_max_ct_phase - maximum clinical phase drug (indication) disease_efo_id - EFO (Experimental Factor Ontology) identifier drug indication disease_efo_label - EFO (Experimental Factor Ontology) label drug indication primary_site - primary tumor site/type (obtained https://github.com/sigven/oncoPhenoMap) drug_clinical_id - drug clinical identifier (clinicaltrials.gov, DailyMed, FDA etc.) drug_clinical_source - underlying source drug entry (DailyMed, clinicaltrials.gov, FDA etc.) atc_code_level1 - drug identifier ATC (level 1) atc_level1 - drug label ATC (level 1) atc_code_level1 - drug identifier ATC (level 2) atc_level2 - drug label ATC (level 2) atc_code_level3 - drug identifier ATC (level 3) atc_level3 - drug label ATC (level 3)","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_on_off_label_drugs.html","id":null,"dir":"Reference","previous_headings":"","what":"Utility function to get on-label/off-label drugs (not complete) — get_on_off_label_drugs","title":"Utility function to get on-label/off-label drugs (not complete) — get_on_off_label_drugs","text":"Utility function get -label/-label drugs (complete)","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_on_off_label_drugs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Utility function to get on-label/off-label drugs (not complete) — get_on_off_label_drugs","text":"","code":"get_on_off_label_drugs(cache_dir = NA)"},{"path":"https://sigven.github.io/pharmOncoX/reference/get_on_off_label_drugs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Utility function to get on-label/off-label drugs (not complete) — get_on_off_label_drugs","text":"cache_dir Local cache directory","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/tidyeval.html","id":null,"dir":"Reference","previous_headings":"","what":"Tidy eval helpers — tidyeval","title":"Tidy eval helpers — tidyeval","text":"https://cran.r-project.org/web/packages/dplyr/vignettes/programming.html","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-144-september-1st-2023","dir":"Changelog","previous_headings":"","what":"Version 1.4.4 (September 1st 2023)","title":"Version 1.4.4 (September 1st 2023)","text":"Updated NCI Thesaurus - 23.08d Updated CIViC data Updated Mitelman database (20230803) get_biomarkers() now exported main function","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-143-august-7th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.4.3 (August 7th 2023)","title":"Version 1.4.3 (August 7th 2023)","text":"NCI Thesaurus 23.07e","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-142-august-1st-2023","dir":"Changelog","previous_headings":"","what":"Version 1.4.2 (August 1st 2023)","title":"Version 1.4.2 (August 1st 2023)","text":"Added biomarker aliases Updated CIViC data","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-141-july-23rd-2023","dir":"Changelog","previous_headings":"","what":"Version 1.4.1 (July 23rd 2023)","title":"Version 1.4.1 (July 23rd 2023)","text":"Added missing biomarker aliases synonymous variants","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-140-july-11th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.4.0 (July 11th 2023)","title":"Version 1.4.0 (July 11th 2023)","text":"Updated metadata Updated CIViC","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-138-july-5th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.3.8 (July 5th 2023)","title":"Version 1.3.8 (July 5th 2023)","text":"Cleaned biomarker data (CIViC)","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-137-june-28th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.3.7 (June 28th 2023)","title":"Version 1.3.7 (June 28th 2023)","text":"Updated NCI Thesaurus (23.06d release) Updated biomarker data (CIViC) Updated Open Targets Platform (2023.06)","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-136-june-1st-2023","dir":"Changelog","previous_headings":"","what":"Version 1.3.6 (June 1st 2023)","title":"Version 1.3.6 (June 1st 2023)","text":"Updated NCI Thesaurus (23.05d release) Cleaned biomarker alteration types","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-135-may-24th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.3.5 (May 24th 2023)","title":"Version 1.3.5 (May 24th 2023)","text":"Removed general words drug alias list Fixed bug biomarker alias parsing","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-133-may-15th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.3.3 (May 15th 2023)","title":"Version 1.3.3 (May 15th 2023)","text":"Added additional drug entries (primary indication non-cancer) Fixed bug parsing drugs Open Targets Platform","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-130-may-10th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.3.0 (May 10th 2023)","title":"Version 1.3.0 (May 10th 2023)","text":"Updated NCI Thesaurus (23.04d release) Drugs now provided ATC classification labels arguments filtering towards specific inhibitors etc now removed (e.g. is_alkylating_agent,is_angiogenesis_inhibitor etc.), filtering can performed user, e.g. considering drug class labels ATC drug targets drug_is_targeted -> drug_targeted_agent inhibitor_only -> drug_action_inhibition drug_approved_later_than -> drug_approval_year source_opentargets_only -> drug_source_opentargets drug_targeted_agent option improved basd ATC labeling drug_cancer_indication - logical indicating resulting drug records indicated cancer conditions (.e. approved conditions, listed clinical trials etc.) - defaults TRUE drug_classified_cancer - logical indicating resulting drug records classified “L” class ATC ( “ANTINEOPLASTIC IMMUNOMODULATING AGENTS”) - defaults TRUE","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-120-april-26th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.2.0 (April 26th 2023)","title":"Version 1.2.0 (April 26th 2023)","text":"Using sigven/phenOncoX v0.5.8 cancer phenotype matching Updated NCI Thesaurus (23.03d release) New helper function retrieve drug biomarkers (pharmOncoX:::get_biomarkers)","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-119-march-1st-2023","dir":"Changelog","previous_headings":"","what":"Version 1.1.9 (March 1st 2023)","title":"Version 1.1.9 (March 1st 2023)","text":"Updated NCI Thesaurus (23.02d release) Updated biomarker data (CIViC) Updated Open Targets Platform (2023.02)","code":""}] +[{"path":[]},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement [INSERT CONTACT METHOD]. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"https://sigven.github.io/pharmOncoX/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.0, available https://www.contributor-covenant.org/version/2/0/ code_of_conduct.html. Community Impact Guidelines inspired Mozilla’s code conduct enforcement ladder. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https:// www.contributor-covenant.org/translations.","code":""},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"installation","dir":"Articles","previous_headings":"","what":"Installation","title":"Getting started","text":"","code":"if (!(\"remotes\" %in% installed.packages()) { install.packages(\"remotes\") } remotes::install_github('sigven/pharmOncoX')"},{"path":[]},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"get-braf-targeted-drugs-list-records-per-indication","dir":"Articles","previous_headings":"Retrieval of drugs - examples","what":"Get BRAF-targeted drugs, list records per indication","title":"Getting started","text":"","code":"library(pharmOncoX) ## load the data cache_dir <- tempdir() drugs <- get_drugs( cache_dir = cache_dir, drug_targeted_agent = T, drug_target = c('BRAF')) #> INFO [2023-10-06 13:44:15] Downloading remote dataset from Google Drive to cache_dir #> INFO [2023-10-06 13:44:17] Downloading remote dataset from Google Drive to cache_dir #> INFO [2023-10-06 13:44:31] Downloading remote dataset from Google Drive to cache_dir #> INFO [2023-10-06 13:44:38] Downloading remote dataset from Google Drive to cache_dir #> INFO [2023-10-06 13:44:40] Downloading remote dataset from Google Drive to cache_dir #> INFO [2023-10-06 13:44:50] Record set satisfying user-defined criteria: n = 328 #> INFO [2023-10-06 13:44:50] Collapsing record set - providing output on a 'per_drug_target_indication' resolution #> INFO [2023-10-06 13:44:50] Final record set: n = 239 records ## Number of drug records nrow(drugs$records) #> [1] 239 ## Column names of drug records colnames(drugs$records) #> [1] \"drug_id\" \"drug_name\" #> [3] \"drug_type\" \"molecule_chembl_id\" #> [5] \"drug_action_type\" \"drug_alias\" #> [7] \"nci_concept_definition\" \"opentargets\" #> [9] \"drug_cancer_relevance\" \"inhibition_moa\" #> [11] \"is_salt\" \"is_adc\" #> [13] \"drug_blackbox_warning\" \"nci_t\" #> [15] \"target_symbol\" \"target_entrezgene\" #> [17] \"target_genename\" \"target_ensembl_gene_id\" #> [19] \"target_type\" \"drug_max_phase_indication\" #> [21] \"drug_approved_indication\" \"drug_frac_cancer_indications\" #> [23] \"drug_approved_noncancer\" \"drug_n_indications\" #> [25] \"drug_year_first_approval\" \"drug_max_ct_phase\" #> [27] \"disease_efo_id\" \"disease_efo_label\" #> [29] \"primary_site\" \"drug_clinical_id\" #> [31] \"drug_clinical_source\" \"atc_code_level1\" #> [33] \"atc_level1\" \"atc_code_level2\" #> [35] \"atc_level2\" \"atc_code_level3\" #> [37] \"atc_level3\""},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"get-braf-targeted-drugs-open-targets-platform-only-list-per-drug-only","dir":"Articles","previous_headings":"Retrieval of drugs - examples","what":"Get BRAF-targeted drugs, Open Targets Platform only, list per drug only","title":"Getting started","text":"","code":"drugs <- get_drugs( cache_dir = cache_dir, drug_targeted_agent = T, drug_action_inhibition = T, drug_target = c('BRAF'), drug_source_opentargets = T, output_resolution = \"drug\" ) drugs$records <- drugs$records |> dplyr::select( -c(\"drug_alias\", \"disease_main_group\", \"drug_clinical_id\")) |> dplyr::mutate( disease_indication = stringr::str_replace_all( disease_indication, \"\\\\|\",\", \") ) dt_drugtable_braf_inhibitors <- DT::datatable( drugs$records, escape = FALSE, extensions = c(\"Buttons\", \"Responsive\"), width = \"100%\", options = list( buttons = c(\"csv\", \"excel\"), dom = \"Bfrtip\") )"},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"get-immune-checkpoint-inhibitors-list-per-drug-target-entry","dir":"Articles","previous_headings":"Retrieval of drugs - examples","what":"Get immune checkpoint inhibitors, list per drug-target entry","title":"Getting started","text":"","code":"drugs <- get_drugs( cache_dir = cache_dir, drug_source_opentargets = F, drug_classified_cancer = T, output_resolution = \"drug2target\") drugs$records <- drugs$records |> dplyr::filter( ((!is.na(atc_level3) & atc_level3 == \"PD-1/PDL-1 inhibitors\") | (!is.na(target_symbol) & target_symbol == \"CTLA4\" | target_symbol == \"TIGIT\")) ) |> dplyr::select( -c(\"drug_alias\", \"disease_main_group\", \"drug_clinical_id\")) |> dplyr::mutate( disease_indication = stringr::str_replace_all( disease_indication, \"\\\\|\",\", \") ) |> dplyr::select( drug_id, drug_name, drug_type, target_symbol, target_genename, dplyr::everything() ) dt_drugtable_ici <- DT::datatable( drugs$records, escape = FALSE, extensions = c(\"Buttons\", \"Responsive\"), width = \"100%\", options = list( buttons = c(\"csv\", \"excel\"), dom = \"Bfrtip\") )"},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"get-immune-checkpoint-inhibitors-indicated-for-tumor-subtypes-within-colonrectum-list-per-drug-target-entry","dir":"Articles","previous_headings":"Retrieval of drugs - examples","what":"Get immune checkpoint inhibitors indicated for tumor subtypes within “Colon/Rectum”, list per drug-target entry","title":"Getting started","text":"","code":"drugs <- get_drugs( cache_dir = cache_dir, output_resolution = \"drug2target\", drug_source_opentargets = T, drug_indication_main = \"Colon/Rectum\") drugs$records <- drugs$records |> dplyr::filter( ((!is.na(atc_level3) & atc_level3 == \"PD-1/PDL-1 inhibitors\") | (!is.na(target_symbol) & target_symbol == \"CTLA4\" | target_symbol == \"TIGIT\")) ) |> dplyr::select( -c(\"drug_alias\", \"disease_main_group\", \"drug_clinical_id\")) |> dplyr::mutate( disease_indication = stringr::str_replace_all( disease_indication, \"\\\\|\",\", \") ) |> dplyr::select( drug_id, drug_name, drug_type, target_symbol, target_genename, dplyr::everything() ) dt_drugtable_ici_colon <- DT::datatable( drugs$records, escape = FALSE, extensions = c(\"Buttons\", \"Responsive\"), width = \"100%\", options = list( buttons = c(\"csv\", \"excel\"), dom = \"Bfrtip\") )"},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"get-antimetabolite-drugs","dir":"Articles","previous_headings":"Retrieval of drugs - examples","what":"Get antimetabolite drugs","title":"Getting started","text":"","code":"drugs <- get_drugs( cache_dir = cache_dir, output_resolution = \"drug\") #> INFO [2023-10-06 13:45:06] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:06] Object 'drug_map_name' sucessfully loaded #> INFO [2023-10-06 13:45:06] Retrieved n = 30298 records #> INFO [2023-10-06 13:45:06] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:06] Object 'drug_map_alias' sucessfully loaded #> INFO [2023-10-06 13:45:06] Retrieved n = 655065 records #> INFO [2023-10-06 13:45:06] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:06] Object 'drug_map_basic' sucessfully loaded #> INFO [2023-10-06 13:45:06] Retrieved n = 31232 records #> INFO [2023-10-06 13:45:06] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:06] Object 'drug_map_target' sucessfully loaded #> INFO [2023-10-06 13:45:06] Retrieved n = 38215 records #> INFO [2023-10-06 13:45:07] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:07] Object 'drug_map_indication' sucessfully loaded #> INFO [2023-10-06 13:45:07] Retrieved n = 56512 records #> INFO [2023-10-06 13:45:10] Record set satisfying user-defined criteria: n = 72161 #> INFO [2023-10-06 13:45:10] Collapsing record set - providing output on a 'per_drug' resolution #> INFO [2023-10-06 13:45:10] Final record set: n = 1079 records drugs$records <- drugs$records |> dplyr::filter( stringr::str_detect( atc_level2, \"ANTIMETABOLITES\" ) ) |> dplyr::select( -c(\"drug_alias\", \"disease_main_group\", \"drug_clinical_id\")) |> dplyr::mutate( disease_indication = stringr::str_replace_all( disease_indication, \"\\\\|\",\", \") ) dt_drugtable_metabolites <- DT::datatable( drugs$records, escape = FALSE, extensions = c(\"Buttons\", \"Responsive\"), width = \"100%\", options = list( buttons = c(\"csv\", \"excel\"), dom = \"Bfrtip\") )"},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"get-taxanes","dir":"Articles","previous_headings":"Retrieval of drugs - examples","what":"Get taxanes","title":"Getting started","text":"","code":"drugs <- get_drugs( cache_dir = cache_dir, output_resolution = \"drug\") #> INFO [2023-10-06 13:45:10] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:10] Object 'drug_map_name' sucessfully loaded #> INFO [2023-10-06 13:45:10] Retrieved n = 30298 records #> INFO [2023-10-06 13:45:11] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:11] Object 'drug_map_alias' sucessfully loaded #> INFO [2023-10-06 13:45:11] Retrieved n = 655065 records #> INFO [2023-10-06 13:45:11] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:11] Object 'drug_map_basic' sucessfully loaded #> INFO [2023-10-06 13:45:11] Retrieved n = 31232 records #> INFO [2023-10-06 13:45:11] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:11] Object 'drug_map_target' sucessfully loaded #> INFO [2023-10-06 13:45:11] Retrieved n = 38215 records #> INFO [2023-10-06 13:45:11] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:11] Object 'drug_map_indication' sucessfully loaded #> INFO [2023-10-06 13:45:11] Retrieved n = 56512 records #> INFO [2023-10-06 13:45:14] Record set satisfying user-defined criteria: n = 72161 #> INFO [2023-10-06 13:45:14] Collapsing record set - providing output on a 'per_drug' resolution #> INFO [2023-10-06 13:45:15] Final record set: n = 1079 records drugs$records <- drugs$records |> dplyr::filter( stringr::str_detect( atc_level3, \"Taxanes\" ) ) |> dplyr::select( -c(\"drug_alias\", \"disease_main_group\", \"drug_clinical_id\")) |> dplyr::mutate( disease_indication = stringr::str_replace_all( disease_indication, \"\\\\|\",\", \") ) dt_drugtable_taxanes <- DT::datatable( drugs$records, escape = FALSE, extensions = c(\"Buttons\", \"Responsive\"), width = \"100%\", options = list( buttons = c(\"csv\", \"excel\"), dom = \"Bfrtip\") )"},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"get-platinum-compounds","dir":"Articles","previous_headings":"Retrieval of drugs - examples","what":"Get platinum compounds","title":"Getting started","text":"","code":"drugs <- get_drugs( cache_dir = cache_dir, output_resolution = \"drug\") #> INFO [2023-10-06 13:45:15] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:15] Object 'drug_map_name' sucessfully loaded #> INFO [2023-10-06 13:45:15] Retrieved n = 30298 records #> INFO [2023-10-06 13:45:16] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:16] Object 'drug_map_alias' sucessfully loaded #> INFO [2023-10-06 13:45:16] Retrieved n = 655065 records #> INFO [2023-10-06 13:45:16] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:16] Object 'drug_map_basic' sucessfully loaded #> INFO [2023-10-06 13:45:16] Retrieved n = 31232 records #> INFO [2023-10-06 13:45:16] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:16] Object 'drug_map_target' sucessfully loaded #> INFO [2023-10-06 13:45:16] Retrieved n = 38215 records #> INFO [2023-10-06 13:45:16] Reading from cache_dir = '/tmp/RtmpT04Il1', argument force_download = F #> INFO [2023-10-06 13:45:16] Object 'drug_map_indication' sucessfully loaded #> INFO [2023-10-06 13:45:16] Retrieved n = 56512 records #> INFO [2023-10-06 13:45:19] Record set satisfying user-defined criteria: n = 72161 #> INFO [2023-10-06 13:45:19] Collapsing record set - providing output on a 'per_drug' resolution #> INFO [2023-10-06 13:45:20] Final record set: n = 1079 records drugs$records <- drugs$records |> dplyr::filter( stringr::str_detect( atc_level3, \"Platinum compounds\" ) ) |> dplyr::select( -c(\"drug_alias\", \"disease_main_group\", \"drug_clinical_id\")) |> dplyr::mutate( disease_indication = stringr::str_replace_all( disease_indication, \"\\\\|\",\", \") ) dt_drugtable_platins <- DT::datatable( drugs$records, escape = FALSE, extensions = c(\"Buttons\", \"Responsive\"), width = \"100%\", options = list( buttons = c(\"csv\", \"excel\"), dom = \"Bfrtip\") )"},{"path":[]},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"reported-associations-between-brca12-alterations-and-drug-sensitivity","dir":"Articles","previous_headings":"Retrieval of biomarkers","what":"Reported associations between BRCA1/2 alterations and drug sensitivity","title":"Getting started","text":"Get evidence CIViC CGI cancer drug sensitivity BRCA1/2 alterations (somatically (tumor) inherited/germline)","code":"biomarkers <- get_biomarkers( cache_dir = cache_dir) #> INFO [2023-10-06 13:45:20] Downloading remote dataset from Google Drive to cache_dir #> INFO [2023-10-06 13:45:24] Reading from cache_dir = ' (/tmp/RtmpT04Il1'), argument force_download = F #> INFO [2023-10-06 13:45:24] Object 'biomarkers' sucessfully loaded #> INFO [2023-10-06 13:45:24] md5 checksum is valid: fe0159f12bb564506cdf1087cfca4b99 brca1_biomarkers <- list() for(source in c('civic','cgi')){ brca1_biomarkers[[source]] <- biomarkers$data[[source]]$variant |> dplyr::filter( !is.na(symbol) & (symbol == \"BRCA1\" | symbol == \"BRCA2\")) |> dplyr::group_by(variant_id, symbol, variant_consequence) |> dplyr::summarise( variant_alias = paste(variant_alias, collapse=\", \"), .groups = \"drop\") |> dplyr::inner_join( biomarkers$data[[source]]$clinical, by = \"variant_id\") |> dplyr::select( variant_id, symbol, variant_consequence, variant_alias, biomarker_source, biomarker_source_datestamp, molecular_profile_name, evidence_id, variant_origin, primary_site, evidence_id, source_id, evidence_url, therapeutic_context, evidence_description, evidence_type, evidence_level, clinical_significance) |> dplyr::distinct() |> dplyr::rename(literature_id = source_id) |> dplyr::filter(evidence_type == \"Predictive\") |> dplyr::select( symbol, primary_site, therapeutic_context, molecular_profile_name, evidence_level, dplyr::everything() ) } brca1_biomarkers_all <- dplyr::bind_rows(brca1_biomarkers[['civic']], brca1_biomarkers[['cgi']]) |> dplyr::arrange(evidence_level) dt_brca1_biomarkers <- DT::datatable( brca1_biomarkers_all, escape = FALSE, extensions = c(\"Buttons\", \"Responsive\"), width = \"100%\", options = list( buttons = c(\"csv\", \"excel\"), dom = \"Bfrtip\") )"},{"path":"https://sigven.github.io/pharmOncoX/articles/pharmOncoX.html","id":"session-info","dir":"Articles","previous_headings":"","what":"Session Info","title":"Getting started","text":"","code":"# set eval = FALSE if you don't want this info (useful for reproducibility) # to appear sessionInfo() #> R version 4.3.1 (2023-06-16) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #> #> Matrix products: default #> BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so; LAPACK version 3.10.0 #> #> locale: #> [1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C LC_TIME=C.UTF-8 #> [4] LC_COLLATE=C.UTF-8 LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8 #> [7] LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C #> [10] LC_TELEPHONE=C LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C #> #> time zone: UTC #> tzcode source: system (glibc) #> #> attached base packages: #> [1] stats graphics grDevices utils datasets methods base #> #> other attached packages: #> [1] pharmOncoX_1.4.5 #> #> loaded via a namespace (and not attached): #> [1] jsonlite_1.8.7 dplyr_1.1.3 compiler_4.3.1 crayon_1.5.2 #> [5] tidyselect_1.2.0 stringr_1.5.0 assertthat_0.2.1 jquerylib_0.1.4 #> [9] systemfonts_1.0.4 textshaping_0.3.6 yaml_2.3.7 fastmap_1.1.1 #> [13] R6_2.5.1 generics_0.1.3 curl_5.1.0 knitr_1.44 #> [17] htmlwidgets_1.6.2 tibble_3.2.1 desc_1.4.2 rprojroot_2.0.3 #> [21] bslib_0.5.1 pillar_1.9.0 rlang_1.1.1 DT_0.29 #> [25] utf8_1.2.3 cachem_1.0.8 stringi_1.7.12 lgr_0.4.4 #> [29] xfun_0.40 fs_1.6.3 sass_0.4.7 memoise_2.0.1 #> [33] cli_3.6.1 withr_2.5.1 pkgdown_2.0.7 magrittr_2.0.3 #> [37] crosstalk_1.2.0 digest_0.6.33 lifecycle_1.0.3 vctrs_0.6.3 #> [41] evaluate_0.22 gargle_1.5.2 glue_1.6.2 ragg_1.2.5 #> [45] googledrive_2.1.1 fansi_1.0.4 httr_1.4.7 rmarkdown_2.25 #> [49] purrr_1.0.2 ellipsis_0.3.2 pkgconfig_2.0.3 tools_4.3.1 #> [53] htmltools_0.5.6"},{"path":[]},{"path":"https://sigven.github.io/pharmOncoX/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Sigve Nakken. Author, maintainer.","code":""},{"path":"https://sigven.github.io/pharmOncoX/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Nakken S. (2023) pharmOncoX: Targeted non-targeted anti-cancer drugs drug regimens. R package version 1.4.5. (https://github.com/sigven/pharmOncoX)","code":"@Manual{, title = {pharmOncoX: Targeted and non-targeted anti-cancer drugs and drug regimens}, author = {Sigve Nakken}, year = {2023}, note = {R package version 1.4.5}, url = {https://github.com/sigven/pharmOncoX}, }"},{"path":"https://sigven.github.io/pharmOncoX/index.html","id":"pharmoncox-","dir":"","previous_headings":"","what":"Molecularly targeted cancer drugs and biomarkers","title":"Molecularly targeted cancer drugs and biomarkers","text":"pharmOncoX provides access targeted non-targeted cancer drugs, including comprehensive annotations per target, drug mechanism--action, approval dates, clinical trial phases various indications etc. data largely based drug-target-indication associations provided Open Targets Platform (Ochoa et al., Nucleic Acids Res., 2021). Associations retrieved Open Targets Platform integrated cancer-relevant indications/conditions (provided sigven/phenOncoX), allowing user retrieve drugs indicated main tumor types (e.g. Lung, Colon/Rectum etc.) Drug-target associations Open Targets Platform furthermore integrated appended drug information NCI Thesaurus, showing also non-targeted cancer drugs (chemotherapeutic agents etc.), various drug regimens. provide anti-cancer drugs pharmOncoX drug class labeling Anatomical Therapeutic Chemical (ATC) Classification System, enabling filtering drugs according main mechanisms action. Currently (late April 2023), pharmOncoX built upon following releases external databases: Open Targets Platform (2023.02) ChEMBL (v31) NCI Thesaurus (23.04d)","code":""},{"path":"https://sigven.github.io/pharmOncoX/index.html","id":"getting-started","dir":"","previous_headings":"","what":"Getting started","title":"Molecularly targeted cancer drugs and biomarkers","text":"Installation instructions Usage examples","code":""},{"path":"https://sigven.github.io/pharmOncoX/index.html","id":"contact","dir":"","previous_headings":"","what":"Contact","title":"Molecularly targeted cancer drugs and biomarkers","text":"sigven ifi.uio.","code":""},{"path":"https://sigven.github.io/pharmOncoX/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Molecularly targeted cancer drugs and biomarkers","text":"Please note project released Contributor Code Conduct. participating project agree abide terms.","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_biomarkers.html","id":null,"dir":"Reference","previous_headings":"","what":"Get curated cancer biomarker datasets — get_biomarkers","title":"Get curated cancer biomarker datasets — get_biomarkers","text":"Downloads preprocessed datasets local cache directory returns curated set genomic biomarkers multiple sources (CIViC, CGI, MitelmanDB) dataset comes list object, three elements: metadata - data frame metadata regarding drug resources used data - list four elements ('civic','cgi','mitelmandb','custom_fusions') fpath - path cache file","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_biomarkers.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get curated cancer biomarker datasets — get_biomarkers","text":"","code":"get_biomarkers(cache_dir = NA, force_download = F)"},{"path":"https://sigven.github.io/pharmOncoX/reference/get_biomarkers.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get curated cancer biomarker datasets — get_biomarkers","text":"cache_dir Local directory data download force_download Logical indicating local cache force downloaded (.e. set TRUE re-download even data exists cache)","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_biomarkers.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get curated cancer biomarker datasets — get_biomarkers","text":"entry source-spefic (CGI, CIViC etc.) entry data list contains list three data frames: variant - list biomarker variants, extensively populated according variant aliases (identifer - column variant_id) clinical - cross-references variants recorded variant data frame clinical evidence items (identifier - column evidence_id) underlying literature evidence (identifier - column source_id) literature - lists literature source_id's listed clinical data frame","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_drug_records.html","id":null,"dir":"Reference","previous_headings":"","what":"Function that retrieves pharmOncoX data from Google Drive — get_drug_records","title":"Function that retrieves pharmOncoX data from Google Drive — get_drug_records","text":"Function retrieves pharmOncoX data Google Drive","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_drug_records.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function that retrieves pharmOncoX data from Google Drive — get_drug_records","text":"","code":"get_drug_records(cache_dir = NA, force_download = F)"},{"path":"https://sigven.github.io/pharmOncoX/reference/get_drug_records.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function that retrieves pharmOncoX data from Google Drive — get_drug_records","text":"cache_dir Local directory data download force_download Logical indicating local cache force downloaded (.e. set TRUE re-download even data exists cache)","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_drugs.html","id":null,"dir":"Reference","previous_headings":"","what":"Get antineoplastic drugs and drug regimens — get_drugs","title":"Get antineoplastic drugs and drug regimens — get_drugs","text":"Downloads preprocessed datasets local cache directory returns selected set drugs based various criteria set user. dataset comes list object, two elements: metadata - data frame metadata regarding drug resources used records - data frame drug records","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_drugs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get antineoplastic drugs and drug regimens — get_drugs","text":"","code":"get_drugs( cache_dir = NA, force_download = FALSE, exclude_salt_forms = TRUE, exclude_adc = TRUE, drug_targeted_agent = FALSE, drug_is_approved = FALSE, drug_target = NULL, drug_action_type = NULL, drug_indication_main = NULL, drug_source_opentargets = FALSE, drug_cancer_indication = TRUE, drug_classified_cancer = TRUE, drug_has_blackbox_warning = FALSE, drug_approval_year = 1939, drug_minimum_phase_any_indication = 0, output_resolution = \"drug2target2indication\", drug_action_inhibition = F )"},{"path":"https://sigven.github.io/pharmOncoX/reference/get_drugs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get antineoplastic drugs and drug regimens — get_drugs","text":"cache_dir local cache directory data retrieval force_download force download data remote repository even data exists cache exclude_salt_forms exclude salt forms drugs exclude_adc exclude antibody-drug conjugates (ADCs) drug_targeted_agent logical indicating resulting drug records contain drugs considered targeted agents (.e. chemotherapeutic drugs/immunosuppressants) drug_is_approved logical indicating resulting drug records contain approved drugs drug_target character vector drug targets (gene symbols) drug records included results drug_action_type character vector drug action types include drug record list - possible values \"INHIBITOR\",\"AGONIST\",\"MODULATOR\",\"ANTAGONIST\", \"BLOCKER\",\"ACTIVATOR\",\"BINDING AGENT\",\"OPENER\", \"STABILISER\",\"CROSS-LINKING AGENT\",DISRUPTING AGENT\",\"\" drug_indication_main character vector main tumor types drug(s) indicated. Possible values: \"Adrenal Gland\",\"Biliary Tract\", \"Bladder/Urinary Tract\",\"Bone\",\"Breast\",\"Cervix\",\"CNS/Brain\", \"Colon/Rectum\",\"Esophagus/Stomach\",\"Eye\",\"Head Neck\",\"Kidney\", \"Liver\",\"Lung\",\"Lymphoid\",\"Myeloid\",\"Ovary/Fallopian Tube\", \"Pancreas\",\"Penis\",\"Peripheral Nervous System\",\"Peritoneum\", \"Pleura\",\"Prostate\",\"Skin\",\"Soft Tissue\",\"Testis\",\"Thymus\", \"Thyroid\",\"Uterus\",\"Vulva/Vagina\" drug_source_opentargets logical indicating resulting drug records contain drug records Open Targets Platform/ChEMBL drug_cancer_indication logical indicating resulting drug records indicated cancer conditions (approved conditions, found clinical trials etc.) drug_classified_cancer logical indicating resulting drug records classified \"L\" class ATC ( \"ANTINEOPLASTIC IMMUNOMODULATING AGENTS\") drug_has_blackbox_warning logical indicating resulting drug records contain drugs black box warnings drug_approval_year include records drugs approved later date (year) drug_minimum_phase_any_indication include drug records clinical phase (indication) greater equal phase output_resolution dictate output record resolution ('drug','drug2target','drug2target2indication') drug_action_inhibition logical indicating return drug records inhibitory mechanism--action","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_drugs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get antineoplastic drugs and drug regimens — get_drugs","text":"records data frame contains following columns (selected columns shown based value output_resolution) drug_id - drug identifier (pharmaOncoX) drug_name - primary drug name (upper case, NCI Thesaurus) drug_type - type drug molecule (Antibody, small molecule etc) molecule_chembl_id - ChEMBL compound identifier drug_action_type - main action elicited drug (antagonist, inhibitor, stabiliser etc) drug_alias - collection unambiguous drug aliases (separated '|') nci_concept_definition - detailed description drug mechanism--action (NCI Thesaurus) opentargets - logical - drug found Open Targets Platform resource is_salt - logical - drug record represents salt form (excluded default) is_adc - logical - drug record represents antibody-drug conjugate (ADC - excluded default) drug_blacbox_warning - logical indicating drug blackbox warning nci_t - NCI thesaurus identifier target_symbol - gene symbol drug target target_entrezgene - Entrez gene identifier drug target target_genename - gene name/description drug target target_ensembl_gene_id - Ensembl gene identifier drug target target_type - type drug target (single protein, protein family etc.) drug_max_phase_indication - maximum clinical phase drug (given indication) drug_approved_indication - logical indicating drug approved indication drug_frac_cancer_indications - fraction drug indications cancers drug_approved_noncancer - logical indicating drug approved non-cancer disease drug_n_indications - number indications given drug (approved indications, clinical trials etc) drug_year_first_approval - year drug first approved drug_max_ct_phase - maximum clinical phase drug (indication) disease_efo_id - EFO (Experimental Factor Ontology) identifier drug indication disease_efo_label - EFO (Experimental Factor Ontology) label drug indication primary_site - primary tumor site/type (obtained https://github.com/sigven/oncoPhenoMap) drug_clinical_id - drug clinical identifier (clinicaltrials.gov, DailyMed, FDA etc.) drug_clinical_source - underlying source drug entry (DailyMed, clinicaltrials.gov, FDA etc.) atc_code_level1 - drug identifier ATC (level 1) atc_level1 - drug label ATC (level 1) atc_code_level1 - drug identifier ATC (level 2) atc_level2 - drug label ATC (level 2) atc_code_level3 - drug identifier ATC (level 3) atc_level3 - drug label ATC (level 3)","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_on_off_label_drugs.html","id":null,"dir":"Reference","previous_headings":"","what":"Utility function to get on-label/off-label drugs (not complete) — get_on_off_label_drugs","title":"Utility function to get on-label/off-label drugs (not complete) — get_on_off_label_drugs","text":"Utility function get -label/-label drugs (complete)","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/get_on_off_label_drugs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Utility function to get on-label/off-label drugs (not complete) — get_on_off_label_drugs","text":"","code":"get_on_off_label_drugs(cache_dir = NA)"},{"path":"https://sigven.github.io/pharmOncoX/reference/get_on_off_label_drugs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Utility function to get on-label/off-label drugs (not complete) — get_on_off_label_drugs","text":"cache_dir Local cache directory","code":""},{"path":"https://sigven.github.io/pharmOncoX/reference/tidyeval.html","id":null,"dir":"Reference","previous_headings":"","what":"Tidy eval helpers — tidyeval","title":"Tidy eval helpers — tidyeval","text":"https://cran.r-project.org/web/packages/dplyr/vignettes/programming.html","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-145-october-6th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.4.5 (October 6th 2023)","title":"Version 1.4.5 (October 6th 2023)","text":"Updated NCI Thesaurus - 23.09d Updated CIViC data Added drug class (ATC) get_on_off_label_drugs()","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-144-september-1st-2023","dir":"Changelog","previous_headings":"","what":"Version 1.4.4 (September 1st 2023)","title":"Version 1.4.4 (September 1st 2023)","text":"Updated NCI Thesaurus - 23.08d Updated CIViC data Updated Mitelman database (20230803) get_biomarkers() now exported main function","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-143-august-7th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.4.3 (August 7th 2023)","title":"Version 1.4.3 (August 7th 2023)","text":"NCI Thesaurus 23.07e","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-142-august-1st-2023","dir":"Changelog","previous_headings":"","what":"Version 1.4.2 (August 1st 2023)","title":"Version 1.4.2 (August 1st 2023)","text":"Added biomarker aliases Updated CIViC data","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-141-july-23rd-2023","dir":"Changelog","previous_headings":"","what":"Version 1.4.1 (July 23rd 2023)","title":"Version 1.4.1 (July 23rd 2023)","text":"Added missing biomarker aliases synonymous variants","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-140-july-11th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.4.0 (July 11th 2023)","title":"Version 1.4.0 (July 11th 2023)","text":"Updated metadata Updated CIViC","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-138-july-5th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.3.8 (July 5th 2023)","title":"Version 1.3.8 (July 5th 2023)","text":"Cleaned biomarker data (CIViC)","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-137-june-28th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.3.7 (June 28th 2023)","title":"Version 1.3.7 (June 28th 2023)","text":"Updated NCI Thesaurus (23.06d release) Updated biomarker data (CIViC) Updated Open Targets Platform (2023.06)","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-136-june-1st-2023","dir":"Changelog","previous_headings":"","what":"Version 1.3.6 (June 1st 2023)","title":"Version 1.3.6 (June 1st 2023)","text":"Updated NCI Thesaurus (23.05d release) Cleaned biomarker alteration types","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-135-may-24th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.3.5 (May 24th 2023)","title":"Version 1.3.5 (May 24th 2023)","text":"Removed general words drug alias list Fixed bug biomarker alias parsing","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-133-may-15th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.3.3 (May 15th 2023)","title":"Version 1.3.3 (May 15th 2023)","text":"Added additional drug entries (primary indication non-cancer) Fixed bug parsing drugs Open Targets Platform","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-130-may-10th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.3.0 (May 10th 2023)","title":"Version 1.3.0 (May 10th 2023)","text":"Updated NCI Thesaurus (23.04d release) Drugs now provided ATC classification labels arguments filtering towards specific inhibitors etc now removed (e.g. is_alkylating_agent,is_angiogenesis_inhibitor etc.), filtering can performed user, e.g. considering drug class labels ATC drug targets drug_is_targeted -> drug_targeted_agent inhibitor_only -> drug_action_inhibition drug_approved_later_than -> drug_approval_year source_opentargets_only -> drug_source_opentargets drug_targeted_agent option improved basd ATC labeling drug_cancer_indication - logical indicating resulting drug records indicated cancer conditions (.e. approved conditions, listed clinical trials etc.) - defaults TRUE drug_classified_cancer - logical indicating resulting drug records classified “L” class ATC ( “ANTINEOPLASTIC IMMUNOMODULATING AGENTS”) - defaults TRUE","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-120-april-26th-2023","dir":"Changelog","previous_headings":"","what":"Version 1.2.0 (April 26th 2023)","title":"Version 1.2.0 (April 26th 2023)","text":"Using sigven/phenOncoX v0.5.8 cancer phenotype matching Updated NCI Thesaurus (23.03d release) New helper function retrieve drug biomarkers (pharmOncoX:::get_biomarkers)","code":""},{"path":"https://sigven.github.io/pharmOncoX/news/index.html","id":"version-119-march-1st-2023","dir":"Changelog","previous_headings":"","what":"Version 1.1.9 (March 1st 2023)","title":"Version 1.1.9 (March 1st 2023)","text":"Updated NCI Thesaurus (23.02d release) Updated biomarker data (CIViC) Updated Open Targets Platform (2023.02)","code":""}]
biomarkers <- get_biomarkers( cache_dir = cache_dir) -#> INFO [2023-09-01 14:26:02] Downloading remote dataset from Google Drive to cache_dir -#> INFO [2023-09-01 14:26:05] Reading from cache_dir = ' (/tmp/RtmpBhEKao'), argument force_download = F -#> INFO [2023-09-01 14:26:05] Object 'biomarkers' sucessfully loaded -#> INFO [2023-09-01 14:26:05] md5 checksum is valid: f4523f47b77d68beda72d1f9c46d96c7 +#> INFO [2023-10-06 13:45:20] Downloading remote dataset from Google Drive to cache_dir +#> INFO [2023-10-06 13:45:24] Reading from cache_dir = ' (/tmp/RtmpT04Il1'), argument force_download = F +#> INFO [2023-10-06 13:45:24] Object 'biomarkers' sucessfully loaded +#> INFO [2023-10-06 13:45:24] md5 checksum is valid: fe0159f12bb564506cdf1087cfca4b99 brca1_biomarkers <- list() for(source in c('civic','cgi')){ @@ -547,8 +527,8 @@ R dom = "Bfrtip") )
Source: inst/CITATION
inst/CITATION
Nakken S. (2023) pharmOncoX: Targeted and non-targeted anti-cancer drugs and drug regimens. R package version 1.4.4. (https://github.com/sigven/pharmOncoX)
Nakken S. (2023) pharmOncoX: Targeted and non-targeted anti-cancer drugs and drug regimens. R package version 1.4.5. (https://github.com/sigven/pharmOncoX)
@Manual{, title = {pharmOncoX: Targeted and non-targeted anti-cancer drugs and drug regimens}, author = {Sigve Nakken}, year = {2023}, - note = {R package version 1.4.4}, + note = {R package version 1.4.5}, url = {https://github.com/sigven/pharmOncoX}, }
NEWS.md
get_on_off_label_drugs()