Quantify and interpret multiple sources of biological and technical variation in gene expression experiments. Uses a linear mixed model to quantify variation in gene expression attributable to individual, tissue, time point, or technical variables. Includes dream differential expression analysis for repeated measures.
|Author||Gabriel E. Hoffman|
|Bioconductor views||BatchEffect DifferentialExpression Epigenetics FunctionalGenomics GeneExpression GeneSetEnrichment ImmunoOncology Microarray Normalization Preprocessing QualityControl RNASeq Regression Software Transcriptomics|
|Maintainer||Gabriel E. Hoffman <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on Bioconductor|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.