PECA
This is the released version of PECA; for the devel version, see PECA.
Probe-level Expression Change Averaging
Bioconductor version: Release (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")
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") Reference Manual
PDF
NEWS
Text
Details
biocViews
DifferentialExpression, DifferentialSplicing, ExonArray, GeneExpression, Microarray, Proteomics, Software
Version
1.46.0
In Bioconductor since
BioC 2.14 (R-3.1) (11.5 years)
License
GPL (>= 2)
Depends
R (>= 3.3)
System Requirements
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.
Source Package
PECA_1.46.0.tar.gz
Windows Binary (x86_64)
PECA_1.46.0.zip (64-bit only)
macOS Binary (x86_64)
PECA_1.46.0.tgz
macOS Binary (arm64)
PECA_1.46.0.tgz
Source Repository
git clone https://git.bioconductor.org/packages/PECA
Source Repository (Developer Access)
git clone git@git.bioconductor.org:packages/PECA
Bioc Package Browser
https://code.bioconductor.org/browse/PECA/
Package Short Url
https://bioconductor.org/packages/PECA/
Package Downloads Report
Download Stats