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PECA

This is the released version of PECA; for the devel version, see PECA.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14

Probe-level Expression Change Averaging


Bioconductor version: Release (3.23)

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")):

Tomi Suomi, Jukka Hiissa, Laura L. Elo. PECA: Probe-level Expression Change Averaging. doi:10.18129/B9.bioc.PECA, R package version 1.48.0, https://bioconductor.org/packages/PECA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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 ManualPDF
NEWSText

Details

biocViews DifferentialExpression, DifferentialSplicing, ExonArray, GeneExpression, Microarray, Proteomics, Software
Version1.48.0
In Bioconductor sinceBioC 2.14 (R-3.1) (12.5 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_1.48.0.tar.gz
Windows Binary (x86_64) PECA_1.48.0.zip
macOS Binary (big-sur-x86_64) PECA_1.48.0.tgz
macOS Binary (sonoma-arm64) PECA_1.48.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/PECA
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/PECA
Package Short Url https://bioconductor.org/packages/PECA/
Package Downloads ReportDownload Stats