extract_gene_categories_FNR: extract_gene_categories_FNR

In magStra/BSure: What the Package Does (One Line, Title Case)

Description

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.

Usage

extract_gene_categories_FNR(extracted_output, FNR_II = 0.05, FNR_I = 0.05)

Arguments

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

Value

essential_genes_II genes of essentiality level II essential_genes_I genes of essentiality level I

References

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

magStra/BSure documentation built on April 27, 2021, 3:30 a.m.