To install this package, start R and enter:

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

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

pvac

PCA-based gene filtering for Affymetrix arrays

Bioconductor version: Release (3.5)

The package contains the function for filtering genes by the proportion of variation accounted for by the first principal component (PVAC).

Author: Jun Lu and Pierre R. Bushel

Maintainer: Jun Lu <jlu276 at gmail.com>, Pierre R. Bushel <bushel at niehs.nih.gov>

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

To install this package, start R and enter:

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

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

browseVignettes("pvac")

PDF	R Script	PCA-based gene filtering for Affymetrix GeneChips
PDF		Reference Manual

biocViews	Microarray, OneChannel, QualityControl, Software
Version	1.24.0
In Bioconductor since	BioC 2.8 (R-2.13) (6.5 years)
License	LGPL (>= 2.0)
Depends	R (>= 2.8.0)
Imports	affy(>= 1.20.0), stats, Biobase
LinkingTo
Suggests	pbapply, affydata, ALLMLL, genefilter
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Source Package	pvac_1.24.0.tar.gz
Windows Binary	pvac_1.24.0.zip
Mac OS X 10.11 (El Capitan)	pvac_1.24.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/pvac
Package Short Url	http://bioconductor.org/packages/pvac/
Package Downloads Report	Download Stats

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