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While following the workflow provided in the repository, I'm encountering an issue where I cannot find the file GTEx_counts_Marginal_Outliers.csv which causes the subsequent Python script to fail.
Steps to Reproduce:
Set up the environment using the provided conda commands.
Set the necessary directories and paths.
Download data using the wget commands and gunzip them.
Run the R command to render the GTEx_data_preparation.Rmd.
Observe that GTEx_counts_Marginal_Outliers.csv file is not generated.
I have verified that all wget commands ran successfully and all necessary files were downloaded. All paths and directories were set as instructed.
Temporary Solution:
To obtain the missing GTEx_counts_Marginal_Outliers.csv file, I followed these steps in R:
# Read the .RDS file
data <- readRDS("GTEx_counts_Marginal_Outliers.RDS")
# Extract the counts matrix
counts_matrix <- assay(data, "counts")
# Save the matrix as a .csv file
write.csv(counts_matrix, "GTEx_counts_Marginal_Outliers.csv", row.names = TRUE)
Ps: I'm sorry for that first Issue, uploaded it wrongly. Thank you all.
The text was updated successfully, but these errors were encountered:
Description:
While following the workflow provided in the repository, I'm encountering an issue where I cannot find the file
GTEx_counts_Marginal_Outliers.csv
which causes the subsequent Python script to fail.Steps to Reproduce:
wget
commands andgunzip
them.GTEx_data_preparation.Rmd
.GTEx_counts_Marginal_Outliers.csv
file is not generated.Environment:
Operating System: Pop!_OS 22.04 LTS (Ubuntu based)
R Version: 4.3.1 (2023-06-16) -- "Beagle Scouts"
Python Version: Python 3.9.13
Conda Version: conda 22.9.0
Additional Information:
I have verified that all
wget
commands ran successfully and all necessary files were downloaded. All paths and directories were set as instructed.Temporary Solution:
To obtain the missing
GTEx_counts_Marginal_Outliers.csv
file, I followed these steps in R:Ps: I'm sorry for that first Issue, uploaded it wrongly. Thank you all.
The text was updated successfully, but these errors were encountered: