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

DOI: 10.18129/B9.bioc.BioQC    

Detect tissue heterogeneity in expression profiles with gene sets

Bioconductor version: Release (3.5)

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")):

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

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

Details

biocViews GeneExpression, QualityControl, Software, StatisticalMethod
Version 1.4.0
In Bioconductor since BioC 3.3 (R-3.3) (1.5 years)
License LGPL (>=2)
Depends Rcpp, Biobase
Imports
LinkingTo
Suggests testthat
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.

Package Source BioQC_1.4.0.tar.gz
Windows Binary BioQC_1.4.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) BioQC_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BioQC
Package Short Url http://bioconductor.org/packages/BioQC/
Package Downloads Report Download Stats

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