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# WT_S1.RSEM.genes.results was generated from running RENEE v2.5.3 on the test dataset https://github.com/CCBR/RENEE/tree/e08f7db6c6e638cfd330caa182f64665d2ef37fa/.tests | ||
gene_counts <- readr::read_tsv(system.file("inst", "extdata", "RSEM.genes.expected_count.all_samples.txt", package = "reneeTools")) | ||
gene_counts <- readr::read_tsv(system.file("inst", "extdata", "RSEM.genes.expected_count.all_samples.txt.gz", package = "reneeTools")) | ||
usethis::use_data(gene_counts, overwrite = TRUE) |
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## training data set from the NIDAP Bulk RNA-seq workflow | ||
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nidap_clean_raw_counts <- readr::read_csv(system.file( | ||
"extdata", "nidap", "Clean_Raw_Counts.csv", | ||
"extdata", "nidap", "Clean_Raw_Counts.csv.gz", | ||
package = "reneeTools" | ||
)) | ||
usethis::use_data(nidap_clean_raw_counts, overwrite = TRUE) | ||
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nidap_sample_metadata <- readr::read_csv(system.file( | ||
"extdata", "nidap", | ||
"Sample_Metadata_Bulk_RNA-seq_Training_Dataset_CCBR.csv", | ||
"Sample_Metadata_Bulk_RNA-seq_Training_Dataset_CCBR.csv.gz", | ||
package = "reneeTools" | ||
)) | ||
usethis::use_data(nidap_sample_metadata, overwrite = TRUE) | ||
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nidap_filtered_counts <- readr::read_csv(system.file( | ||
"extdata", "nidap", | ||
"Filtered_Counts.csv", | ||
"Filtered_Counts.csv.gz", | ||
package = "reneeTools" | ||
)) | ||
usethis::use_data(nidap_filtered_counts, overwrite = TRUE) |
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