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Bioconductor - PECA (development version)

PECA

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

Probe-level Expression Change Averaging

Bioconductor version: Development (3.22)

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 "4.5") 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")
Details biocViews DifferentialExpression, DifferentialSplicing, ExonArray, GeneExpression, Microarray, Proteomics, Software Version 1.45.0 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 URL See More Suggests SpikeIn Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives

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

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