PECA: Probe-level Expression Change Averaging

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.

Package details

AuthorTomi Suomi, Jukka Hiissa, Laura L. Elo
Bioconductor views DifferentialExpression DifferentialSplicing ExonArray GeneExpression Microarray Proteomics Software
MaintainerTomi Suomi <tomi.suomi@utu.fi>
LicenseGPL (>= 2)
Version1.26.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("PECA")

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PECA documentation built on Nov. 8, 2020, 7:24 p.m.