_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-variancepartition 1.36.2
Propagated dependencies: r-aod@1.3.3 r-biobase@2.66.0 r-biocparallel@1.40.0 r-corpcor@1.6.10 r-fancova@0.6-1 r-ggplot2@3.5.1 r-gplots@3.2.0 r-iterators@1.0.14 r-limma@3.62.1 r-lme4@1.1-35.5 r-lmertest@3.1-3 r-mass@7.3-61 r-matrix@1.7-1 r-matrixstats@1.4.1 r-pbkrtest@0.5.3 r-rdpack@2.6.1 r-remacor@0.0.18 r-reshape2@1.4.4 r-rhpcblasctl@0.23-42 r-rlang@1.1.4 r-scales@1.3.0
Channel: guix
Location: gnu/packages/bioconductor.scm (gnu packages bioconductor)
Home page: https://bioconductor.org/packages/variancePartition/
Licenses: GPL 2+
Synopsis: Analyze variation in gene expression experiments
Description:

This is a package providing tools to quantify and interpret multiple sources of biological and technical variation in gene expression experiments. It uses a linear mixed model to quantify variation in gene expression attributable to individual, tissue, time point, or technical variables. The package includes dream differential expression analysis for repeated measures.

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