PECA

DOI: 10.18129/B9.bioc.PECA    

Probe-level Expression Change Averaging

Bioconductor version: Release (3.15)

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 "4.2") 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")

 

PDF R Script PECA: Probe-level Expression Change Averaging
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, DifferentialSplicing, ExonArray, GeneExpression, Microarray, Proteomics, Software
Version 1.32.0
In Bioconductor since BioC 2.14 (R-3.1) (8.5 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
Links To Me
Build Report  

Package Archives

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

Source Package PECA_1.32.0.tar.gz
Windows Binary PECA_1.32.0.zip
macOS Binary (x86_64) PECA_1.32.0.tgz
Source Repository git 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 Report Download Stats

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