DOI: 10.18129/B9.bioc.BioQC    

This is the development version of BioQC; for the stable release version, see BioQC.

Detect tissue heterogeneity in expression profiles with gene sets

Bioconductor version: Development (3.7)

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")):


To install this package, start R and enter:

## try http:// if https:// URLs are not supported


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 1.7.0
In Bioconductor since BioC 3.3 (R-3.3) (2 years)
License GPL (>=3)
Depends utils, Rcpp, Biobase, methods, stats
Suggests testthat, knitr, rmarkdown, lattice, latticeExtra, rbenchmark, gplots, gridExtra, hgu133plus2.db, ineq
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package BioQC_1.7.0.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.11 (El Capitan) BioQC_1.7.0.tgz
Source Repository git clone
Package Short Url
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: