Description Usage Arguments Value References
View source: R/post_processing_functions.R
This function is identical to extract_gene_categories except it finds sets of essential genes given a false negative rather than a false positive rate.
1 | extract_gene_categories_FNR(extracted_output, FNR_II = 0.05, FNR_I = 0.05)
|
extracted_output |
output of the function extract_from_output |
FNR_II |
set to 0.05 by default; false negative rate for essentiality of type II |
FNR_I |
set to 0.05 by default |
essential_genes_II genes of essentiality level II essential_genes_I genes of essentiality level I
Hart T, Moffat J. BAGEL: a computational framework for identifying essential genesfrom pooled library screens. BMC Bioinformatics. 2016;17(1):164. doi:10.1186/s12859-016-1015-8 Behan FM et al. Prioritization of cancer therapeutic targets using CRISPR–Cas9 screens. Nature. 2019;568(7753):511–516
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