To install this package, start R and enter:

source("http://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 (3.0)

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:

source("http://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 R Script PECA: Probe-level Expression Change Averaging
PDF   Reference Manual

Details

biocViews DifferentialExpression, GeneExpression, Microarray, Preprocessing, Software
Version 1.2.0
In Bioconductor since BioC 2.14 (R-3.1)
License GPL (>= 2)
Depends
Imports limma, affy, genefilter, preprocessCore
Suggests SpikeIn, ROCR, multtest
SystemRequirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source PECA_1.2.0.tar.gz
Windows Binary PECA_1.2.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) PECA_1.2.0.tgz
Mac OS X 10.9 (Mavericks) PECA_1.2.0.tgz
Browse/checkout source (username/password: readonly)
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