PECA

DOI: 10.18129/B9.bioc.PECA    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see PECA.

Probe-level Expression Change Averaging

Bioconductor version: 3.13

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>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("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	1.28.0
In Bioconductor since	BioC 2.14 (R-3.1) (7.5 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_1.28.0.tar.gz
Windows Binary	PECA_1.28.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra)	PECA_1.28.0.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