findLowlyVariableFeaturesCVs {NormalyzerDE} | R Documentation

## Uses a list of FDR-values to extract features with low variance in the log2-transformed dataset. This is then used to calculate the average CV for these 'lowly variable' features in each normalization approach

### Description

Uses a list of FDR-values to extract features with low variance in the log2-transformed dataset. This is then used to calculate the average CV for these 'lowly variable' features in each normalization approach

### Usage

    findLowlyVariableFeaturesCVs(referenceFDR, methodList)

### Arguments

`referenceFDR` | List of FDR values used as non-normalized reference
`methodList` | List containing normalized matrices

### Value

lowVarFeaturesAverageCVs Average CV values for lowly variable features in each normalization approach

[Package NormalyzerDE version 1.6.0 Index]