Package: variancePartition
Type: Package
Title: Quantify and interpret divers of variation in multilevel gene
        expression experiments
Version: 1.12.0
Date: 2018-10-22
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_8
git_last_commit: 0a8872b
git_last_commit_date: 2018-10-30
Date/Publication: 2018-10-30
NeedsCompilation: no
Packaged: 2018-10-31 01:04:44 UTC; biocbuild
Built: R 3.5.1; ; 2018-12-21 04:25:50 UTC; unix
