Package: variancePartition
Type: Package
Title: Quantify and interpret divers of variation in multilevel gene
        expression experiments
Version: 1.10.4
Date: 2018-10-11
Author: Gabriel E. Hoffman
Maintainer: Gabriel E. Hoffman <gabriel.hoffman@mssm.edu>
Description: 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.
VignetteBuilder: knitr
License: GPL (>= 2)
Suggests: BiocStyle, knitr, pander, rmarkdown, edgeR, dendextend,
        tximport, tximportData, ballgown, DESeq2, RUnit, BiocGenerics,
        r2glmm, readr
biocViews: RNASeq, GeneExpression, DifferentialExpression, BatchEffect,
        QualityControl, Regression, Transcription, Normalization,
        Preprocessing, Software
Depends: R (>= 3.0.0), ggplot2, limma, foreach, scales, Biobase,
        methods
Imports: MASS, pbkrtest (>= 0.4-4), lmerTest, iterators, splines,
        colorRamps, gplots, reshape2, lme4 (>= 1.1-10), doParallel,
        grDevices, graphics, utils, stats
RoxygenNote: 6.1.0
git_url: https://git.bioconductor.org/packages/variancePartition
git_branch: RELEASE_3_7
git_last_commit: 4455edd
git_last_commit_date: 2018-10-11
Date/Publication: 2018-10-12
NeedsCompilation: no
Packaged: 2018-10-13 00:59:53 UTC; biocbuild
Built: R 3.4.1; ; 2018-10-21 09:08:16 UTC; unix
