Package: variancePartition
Type: Package
Title: Quantify and interpret divers of variation in multilevel gene
        expression experiments
Version: 1.22.0
Date: 2020-10-26
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, BiocParallel, scales, Biobase,
        methods
Imports: MASS, pbkrtest (>= 0.4-4), lmerTest, iterators, splines,
        foreach, doParallel, colorRamps, gplots, progress, reshape2,
        lme4 (>= 1.1-10), grDevices, graphics, utils, stats
RoxygenNote: 7.1.1
git_url: https://git.bioconductor.org/packages/variancePartition
git_branch: RELEASE_3_13
git_last_commit: 25d1f1e
git_last_commit_date: 2021-05-19
Date/Publication: 2021-05-19
NeedsCompilation: no
Packaged: 2021-05-20 03:01:15 UTC; biocbuild
Built: R 4.1.0; ; 2021-05-20 10:30:26 UTC; windows
