DOI: 10.18129/B9.bioc.BioQC    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see BioQC.

Detect tissue heterogeneity in expression profiles with gene sets

Bioconductor version: 3.8

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.

Author: Jitao David Zhang <jitao_david.zhang at>, Laura Badi, Gregor Sturm, Roland Ambs

Maintainer: Jitao David Zhang <jitao_david.zhang at>

Citation (from within R, enter citation("BioQC")):


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HTML R Script BioQC Alogrithm: Speeding up the Wilcoxon-Mann-Whitney Test
HTML R Script BioQC: Detect tissue heterogeneity in gene expression data
HTML R Script Using BioQC with signed genesets
PDF   Reference Manual
Text   NEWS


biocViews GeneExpression, QualityControl, Software, StatisticalMethod
Version 1.10.0
In Bioconductor since BioC 3.3 (R-3.3) (3 years)
License GPL (>=3)
Depends utils, Rcpp, Biobase, methods, stats
Suggests testthat, knitr, rmarkdown, lattice, latticeExtra, rbenchmark, gplots, gridExtra, hgu133plus2.db, ineq
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