To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

BioQC

Detect tissue heterogeneity in expression profiles with gene sets

Bioconductor version: Release (3.4)

BioQC performs quality control of high-throughput expression data based on tissue gene signatures

Author: Jitao David Zhang <jitao_david.zhang at roche.com>, with inputs from Laura Badi

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

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

To install this package, start R and enter:

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

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BioQC")

PDF	R Script	BioQC: The kidney expression example
PDF		Reference Manual
Text		NEWS

biocViews	GeneExpression, QualityControl, Software, StatisticalMethod
Version	1.2.0
In Bioconductor since	BioC 3.3 (R-3.3) (1 year)
License	LGPL (>=2)
Depends	Rcpp, Biobase
Imports
LinkingTo
Suggests	testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	BioQC_1.2.0.tar.gz
Windows Binary	BioQC_1.2.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks)	BioQC_1.2.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/BioQC/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/BioQC/
Package Downloads Report	Download Stats

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