HoneyBADGER_calcGexpCnvProb: Calculate posterior probability of CNVs using normalized...

In JEFworks/HoneyBADGER: HMM-integrated Bayesian approach for detecting CNV and LOH events using single-cell RNA-seq data

Description

Calculate posterior probability of CNVs using normalized expression data

Arguments

gexp.norm.sub	Optional normalized gene expression matrix. If not provided, internal normalized gene expression matrix is used.
m	Expected mean deviation due to copy number change (default: 0.15)
region	Optional GenomicRanges region of interest such as expected CNV boundaries. (default: NULL)
quiet	Boolean for whether to suppress progress display (default: TRUE)
verbose	Verbosity (default: FALSE)

JEFworks/HoneyBADGER documentation built on July 24, 2021, 3:01 p.m.