To install this package, start R and enter:
## try http if https is not available
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: 3.1
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 is not available
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")
| R Script | PECA: Probe-level Expression Change Averaging | |
| Reference Manual |
Details
| biocViews | DifferentialExpression, GeneExpression, Microarray, Proteomics, Software |
| Version | 1.4.0 |
| In Bioconductor since | BioC 2.14 (R-3.1) (1.5 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 |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | PECA_1.4.0.tar.gz |
| Windows Binary | PECA_1.4.0.zip |
| Mac OS X 10.6 (Snow Leopard) | PECA_1.4.0.tgz |
| Mac OS X 10.9 (Mavericks) | PECA_1.4.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/PECA/tree/release-3.1 |
| Package Short Url | http://bioconductor.org/packages/PECA/ |
| Package Downloads Report | Download Stats |
Documentation »
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