Bioconductor-mirror/PECA: Probe-level Expression Change Averaging
Version 1.13.0

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.

Getting started

Package details

AuthorTomi Suomi, Jukka Hiissa, Laura L. Elo
Bioconductor views DifferentialExpression DifferentialSplicing ExonArray GeneExpression Microarray Proteomics Software
MaintainerTomi Suomi <[email protected]>
LicenseGPL (>= 2)
Version1.13.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/PECA")
Bioconductor-mirror/PECA documentation built on May 31, 2017, 9:40 p.m.