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.
|Bioconductor views||BatchEffect DifferentialExpression Epigenetics FunctionalGenomics GeneExpression GeneSetEnrichment ImmunoOncology Microarray Normalization Preprocessing QualityControl RNASeq Regression Software Transcriptomics|
|Maintainer||Gabriel Hoffman <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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