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.
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This package is for version 2.14 of Bioconductor; for the stable, up-to-date release version, see PECA.
Bioconductor version: 2.14
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("PECA")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PECA")
R Script | PECA: Probe-level Expression Change Averaging | |
Reference Manual |
biocViews | DifferentialExpression, GeneExpression, Microarray, Preprocessing, Software |
Version | 1.0.0 |
In Bioconductor since | BioC 2.14 (R-3.1) (2 years) |
License | GPL (>= 2) |
Depends | |
Imports | limma, affy, genefilter, preprocessCore |
LinkingTo | |
Suggests | SpikeIn, ROCR, multtest |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | PECA_1.0.0.tar.gz |
Windows Binary | PECA_1.0.0.zip |
Mac OS X 10.6 (Snow Leopard) | PECA_1.0.0.tgz |
Mac OS X 10.9 (Mavericks) | PECA_1.0.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/PECA/tree/release-2.14 |
Package Short Url | http://bioconductor.org/packages/PECA/ |
Package Downloads Report | Download Stats |
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