GabrielHoffman/variancePartition: Quantify and interpret drivers of variation in multilevel gene expression experiments
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.
Getting started
Browse package contents
Package details |
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| Bioconductor views | BatchEffect DifferentialExpression Epigenetics FunctionalGenomics GeneExpression GeneSetEnrichment ImmunoOncology Microarray Normalization Preprocessing QualityControl RNASeq Regression Software Transcriptomics |
| Maintainer | Gabriel E. Hoffman <gabriel.hoffman@mssm.edu> |
| License | GPL-2 |
| Version | 1.36.2 |
| URL | http://bioconductor.org/packages/variancePartition https://DiseaseNeuroGenomics.github.io/variancePartition |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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