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.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see PECA.
Bioconductor version: 3.4
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 | ||
Text | NEWS |
biocViews | DifferentialExpression, DifferentialSplicing, ExonArray, GeneExpression, Microarray, Proteomics, Software |
Version | 1.10.0 |
In Bioconductor since | BioC 2.14 (R-3.1) (3 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 |
Follow Installation instructions to use this package in your R session.
Package Source | PECA_1.10.0.tar.gz |
Windows Binary | PECA_1.10.0.zip |
Mac OS X 10.9 (Mavericks) | PECA_1.10.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/PECA/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/PECA/ |
Package Downloads Report | Download Stats |
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