nbinomWaldTestUMI4C: Differential UMI4C contacts using DESeq2 Wald Test

Description Usage Arguments Details Value

View source: R/differentialNbinomWaldTestUMI4C.R

Description

Takes the smooth monotone fit count values and infers the differential UMI4C contacts using DESeq2 Wald Test from DESeq2 package.

Usage

1

Arguments

dds

DDS object as generated by smoothMonotoneUMI4C with the smooth monotone fit counts

Details

This function back-transform fitted values to the scale of raw counts and scale them across the samples to obtin normalizaed factors unsing normalizationFactors from DESeq2 package. To detect differences between conditions, the DESeq2 Wald Test is applied to fitted counts with the normalization factors.

Value

DDS object with the DESeq2 Wald Test results, with results columns accessible with the results function.


UMI4Cats documentation built on Dec. 31, 2020, 2:01 a.m.