PECA

This is the development version of PECA; for the stable release version, see PECA.

Probe-level Expression Change Averaging


Bioconductor version: Development (3.20)

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 (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("PECA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("PECA")
PECA: Probe-level Expression Change Averaging PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews DifferentialExpression, DifferentialSplicing, ExonArray, GeneExpression, Microarray, Proteomics, Software
Version 1.41.0
In Bioconductor since BioC 2.14 (R-3.1) (10.5 years)
License GPL (>= 2)
Depends R (>= 3.3)
Imports ROTS, limma, affy, genefilter, preprocessCore, aroma.affymetrix, aroma.core
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Package Archives

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

Source Package PECA_1.41.0.tar.gz
Windows Binary PECA_1.41.0.zip
macOS Binary (x86_64) PECA_1.41.0.tgz
macOS Binary (arm64) PECA_1.41.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/PECA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/PECA
Bioc Package Browser https://code.bioconductor.org/browse/PECA/
Package Short Url https://bioconductor.org/packages/PECA/
Package Downloads Report Download Stats