Package: variancePartition
Type: Package
Title: Quantify and interpret divers of variation in multilevel gene
        expression experiments
Version: 1.18.3
Date: 2020-08-07
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)
BugReports: https://github.com/GabrielHoffman/variancePartition/issues
Suggests: BiocStyle, knitr, pander, rmarkdown, edgeR, dendextend,
        tximport, tximportData, ballgown, DESeq2, RUnit, BiocGenerics,
        r2glmm, readr
biocViews: RNASeq, GeneExpression, GeneSetEnrichment,
        DifferentialExpression, BatchEffect, QualityControl,
        Regression, Epigenetics, FunctionalGenomics, Transcriptomics,
        Normalization, Preprocessing, Microarray, ImmunoOncology,
        Software
Depends: R (>= 3.6.0), ggplot2, limma, foreach, scales, Biobase,
        methods
Imports: MASS, pbkrtest (>= 0.4-4), lmerTest, iterators, splines,
        colorRamps, BiocParallel, gplots, progress, reshape2, lme4 (>=
        1.1-10), doParallel, grDevices, graphics, utils, stats
RoxygenNote: 7.1.1
git_url: https://git.bioconductor.org/packages/variancePartition
git_branch: RELEASE_3_11
git_last_commit: c743718
git_last_commit_date: 2020-08-07
Date/Publication: 2020-08-07
NeedsCompilation: no
Packaged: 2020-08-08 02:27:40 UTC; biocbuild
Built: R 4.0.2; ; 2020-08-08 15:06:10 UTC; windows
