Package: BioQC
Type: Package
Title: Detect tissue heterogeneity in expression profiles with gene
        sets
Version: 1.18.0
Date: 2020-07-23
Author: Jitao David Zhang <jitao_david.zhang@roche.com>, Laura Badi, Gregor
    Sturm, Roland Ambs
Maintainer: Jitao David Zhang <jitao_david.zhang@roche.com>
Description: BioQC performs quality control of high-throughput expression data
    based on tissue gene signatures. It can detect tissue heterogeneity in gene
    expression data. The core algorithm is a Wilcoxon-Mann-Whitney test that is
    optimised for high performance.
Depends: Biobase
Imports: edgeR, Rcpp, methods, stats, utils
Collate: AllClasses.R AllMethods.R as.GmtList.R GmtList-funcs.R
        readSignedGmt.R uniqGenesetsByNamespace.R appendGmtList.R
        utils.R entropy.R gini.R readGmt.R matchGenes.R wmwTest.R
Suggests: testthat, knitr, rmarkdown, lattice, latticeExtra,
        rbenchmark, gplots, gridExtra, org.Hs.eg.db, ineq, covr
LinkingTo: Rcpp
VignetteBuilder: knitr
biocViews: GeneExpression,QualityControl,StatisticalMethod,
        GeneSetEnrichment
License: GPL (>=3)
Encoding: UTF-8
RoxygenNote: 7.1.1
git_url: https://git.bioconductor.org/packages/BioQC
git_branch: RELEASE_3_12
git_last_commit: 93ea3cd
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-27
NeedsCompilation: yes
Packaged: 2020-10-28 00:39:46 UTC; biocbuild
Built: R 4.0.3; i386-w64-mingw32; 2020-10-28 13:42:00 UTC; windows
Archs: i386, x64
