Package: variancePartition
Type: Package
Title: Quantify and interpret drivers of variation in multilevel gene
        expression experiments
Version: 1.28.0
Date: 2022-09-20
Authors@R: person("Gabriel", "Hoffman", role=c("aut", "cre"), email="gabriel.hoffman@mssm.edu")
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
URL: http://bioconductor.org/packages/variancePartition,
        https://DiseaseNeuroGenomics.github.io/variancePartition
BugReports: https://github.com/DiseaseNeuroGenomics/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 (>= 4.0.0), ggplot2, limma, BiocParallel
Imports: MASS, pbkrtest (>= 0.4-4), lmerTest, Matrix (>= 1.4.0),
        iterators, foreach, doParallel, gplots, RhpcBLASctl, progress,
        reshape2, aod, scales, Rdpack, rlang, lme4 (>= 1.1-10),
        grDevices, graphics, Biobase, methods, utils, stats
RoxygenNote: 7.2.1
RdMacros: Rdpack
git_url: https://git.bioconductor.org/packages/variancePartition
git_branch: RELEASE_3_16
git_last_commit: f4cea35
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
NeedsCompilation: no
Packaged: 2022-11-01 23:22:49 UTC; biocbuild
Author: Gabriel Hoffman [aut, cre]
Built: R 4.2.1; ; 2022-11-04 13:58:34 UTC; unix
