What is it? Limma is an R package for the analysis of gene expression data, especially the use of linear models for analysing designed experiments and the assessment of differential …

The Limma algorithm uses moderated t-statistics to perform hypothesis testing, which helps to account for the high correlation between genes that can occur in microarray data. After the …

limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex …

limma is an R package that was originally developed for differential expression (DE) analysis of microarray data. voom is a function in the limma package that modifies RNA-Seq data for use …

limma is an R package hosted on Bioconductor which finds differentially expressed genes for RNA-seq or microarray. Recently I’ve been working on a PCR-based low-density array and …

LIMMA is a library for the analysis of gene expression microarray data, especially the use of linear models for analysing designed experiments and the assessment of differential expression.

LIMMA is a library for the analysis of gene expression microarray data, especially the use of linear models for analysing designed experiments and the assessment of differential expression. …

The limma package is widely recognized for its powerful capabilities in fitting linear models to gene expression data, allowing researchers to evaluate differences due to experimental …

Here, we present a couple of simple examples of differential analysis based on limma. In particular, we show how the design matrix can be constructed using different ‘codings’ of the …

Multiple tools across multiple programming languages can be used to perform Differential Gene Expression (DGE) analysis. When using R and the Bioconductor packages, the main three are …