BioQC

DOI: 10.18129/B9.bioc.BioQC    

Detect tissue heterogeneity in expression profiles with gene sets

Bioconductor version: Release (3.6)

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 roche.com>, Laura Badi, Gregor Sturm, Roland Ambs

Maintainer: Jitao David Zhang <jitao_david.zhang at roche.com>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("BioQC")

Documentation

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

Details

biocViews	GeneExpression, QualityControl, Software, StatisticalMethod
Version	1.6.0
In Bioconductor since	BioC 3.3 (R-3.3) (2 years)
License	GPL (>=3)
Depends	utils, Rcpp, Biobase, methods, stats
Imports
LinkingTo
Suggests	testthat, knitr, rmarkdown, lattice, latticeExtra, rbenchmark, gplots, gridExtra, hgu133plus2.db, ineq
SystemRequirements
Enhances
URL
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_1.6.0.tar.gz
Windows Binary	BioQC_1.6.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	BioQC_1.6.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/BioQC
Package Short Url	http://bioconductor.org/packages/BioQC/
Package Downloads Report	Download Stats