limma {geneExpression} R Documentation

The limma algorithm (Linear Models for Microarray Data) is a widely used statistical framework in R/Bioconductor

Description

for differential expression (DE) analysis of RNA-seq data. Originally designed for microarray studies, its
flexibility and robustness have extended its utility to RNA-seq through the voomtransformation.

Usage

limma(x, design);

Arguments

x

[as Matrix]

design

[as DataAnalysis]

Details

Authors

phenotype_kit

Value

this function returns data object of type DEGModel[].

clr value class

Examples

[Package geneExpression version 1.0.0.0 Index]