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_pkgdown.yml
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/
_pkgdown.yml
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title: scMINER
url: https://jyyulab.github.io/scMINER/
template:
bootstrap: 5
light-switch: true
bslib:
pkgdown-nav-height: 100px
navbar:
left:
- text: Quick Tutorial
href: articles/quick_tutorial.html
- text: Full Documentation
href: bookdown/index.html
- text: Functions
href: reference/index.html
right:
- icon: fa-github
href: https://github.com/jyyulab/scMINER
reference:
- title: Data preprocessing
contents: createProjectSpace
- subtitle: Data intake
desc: Functions to read input data from multiple formats
contents:
- readInput_10x.dir
- readInput_10x.h5
- readInput_h5ad
- readInput_table
- subtitle: SparseEset manipulation
desc: Functions that help create and filter SparseEset objects
contents:
- createSparseEset
- combineSparseEset
- updateSparseEset
- filterSparseEset
- normalizeSparseEset
- drawSparseEsetQC
- title: MI-based clustering analysis
desc: Functions that mainly used in clustering analysis
contents:
- generateMICAinput
- addMICAoutput
- MICAplot
- title: MI-based network inference
desc: Functions that principally operate for network inference
contents:
- getDriverList
- generateSJARACNeInput
- drawNetworkQC
- getActivity_individual
- getActivity_inBatch
- title: Data visualization and sharing
desc: Functions that visulize the data analysis and prepare inputs for scMINER Portal
contents:
- feature_vlnplot
- feature_boxplot
- feature_scatterplot
- feature_bubbleplot
- feature_heatmap
- draw_barplot
- draw_bubbleplot
- generatePortalInputs
- title: Differential analysis
desc: Functions that identify the differntially expressed genes (DEGs) or differentially
activated drivers (DADs)
contents:
- getDE
- getDA
- getTopFeatures
- title: Helper functions
desc: Functions that make the primary functions simpler
contents:
- combinePvalVector
- compare2groups
- z_normalization
- get_net2target_list
- get_target_list2matrix
- cal_Activity
- SparseExpressionSet-class
- pbmc14k_rawCount
- pbmc14k_expression.eset