Package: BioQC
Type: Package
Title: Detect tissue heterogeneity in expression profiles with gene
        sets
Version: 1.6.0
Date: 2017-07-26
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: utils, Rcpp, Biobase, methods, stats
Collate: AllClasses.R AllMethods.R utils.R entropy.R gini.R readGmt.R
        matchGenes.R wmwTest.R
Suggests: testthat, knitr, rmarkdown, lattice, latticeExtra,
        rbenchmark, gplots, gridExtra, hgu133plus2.db, ineq
VignetteBuilder: knitr
biocViews: GeneExpression,QualityControl,StatisticalMethod
License: GPL (>=3)
RoxygenNote: 6.0.1.9000
NeedsCompilation: yes
Packaged: 2017-10-31 01:28:45 UTC; biocbuild
Built: R 3.4.2; i386-w64-mingw32; 2017-10-31 03:12:55 UTC; windows
Archs: i386, x64
