BioQC

This package is for version 3.6 of Bioconductor; for the stable, up-to-date release version, see BioQC.

Detect tissue heterogeneity in expression profiles with gene sets

Bioconductor version: 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>

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

Installation

To install this package, start R (version "3.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("BioQC")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation


Reference Manual	PDF
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	GeneExpression, QualityControl, Software, StatisticalMethod
Version	1.6.0
In Bioconductor since	BioC 3.3 (R-3.3) (8 years)
License	GPL (>=3)
Depends	utils, Rcpp, Biobase, methods, stats
Imports
System Requirements
URL

Suggests	testthat, knitr, rmarkdown, lattice, latticeExtra, rbenchmark, gplots, gridExtra, hgu133plus2.db, ineq
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	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
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/BioQC
Package Short Url	https://bioconductor.org/packages/BioQC/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.6	Source Archive