To install this package, start R and enter:

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

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

PECA

 

   

Probe-level Expression Change Averaging

Bioconductor version: Release (3.3)

Calculates Probe-level Expression Change Averages (PECA) to identify differential expression in Affymetrix gene expression microarray studies or in proteomic studies using peptide-level mesurements respectively.

Author: Tomi Suomi, Jukka Hiissa, Laura L. Elo

Maintainer: Tomi Suomi <tomi.suomi at utu.fi>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("PECA")

 

PDF PECA.pdf
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, DifferentialSplicing, ExonArray, GeneExpression, Microarray, Proteomics, Software
Version 1.8.0
In Bioconductor since BioC 2.14 (R-3.1) (2 years)
License GPL (>= 2)
Depends R (>= 3.3)
Imports ROTS, limma, affy, genefilter, preprocessCore, aroma.affymetrix, aroma.core
LinkingTo
Suggests SpikeIn
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 PECA_1.8.0.tar.gz
Windows Binary PECA_1.8.0.zip
Mac OS X 10.6 (Snow Leopard) PECA_1.5.3.tgz
Mac OS X 10.9 (Mavericks) PECA_1.8.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/PECA/tree/release-3.3
Package Short Url http://bioconductor.org/packages/PECA/
Package Downloads Report Download Stats

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