PECA

This package is for version 3.20 of Bioconductor; for the stable, up-to-date release version, see PECA.

Probe-level Expression Change Averaging

Bioconductor version: 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")
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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews DifferentialExpression, DifferentialSplicing, ExonArray, GeneExpression, Microarray, Proteomics, Software

Version 1.42.0

In Bioconductor since BioC 2.14 (R-3.1) (11 years)

License GPL (>= 2)

Depends R (>= 3.3)

Imports ROTS, limma, affy, genefilter, preprocessCore, aroma.affymetrix, aroma.core

System Requirements

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Package Archives

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

Source Package PECA_1.42.0.tar.gz

Windows Binary (x86_64) PECA_1.42.0.zip (64-bit only)

macOS Binary (x86_64) PECA_1.42.0.tgz

macOS Binary (arm64) PECA_1.42.0.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/

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