PECA
This is the development version of PECA; for the stable release version, see PECA.
Probe-level Expression Change Averaging
Bioconductor version: Development (3.20)
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("PECA")
):
Installation
To install this package, start R (version "4.4") 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")
PECA: Probe-level Expression Change Averaging | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | DifferentialExpression, DifferentialSplicing, ExonArray, GeneExpression, Microarray, Proteomics, Software |
Version | 1.41.0 |
In Bioconductor since | BioC 2.14 (R-3.1) (10.5 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.
Source Package | PECA_1.41.0.tar.gz |
Windows Binary | PECA_1.41.0.zip |
macOS Binary (x86_64) | PECA_1.41.0.tgz |
macOS Binary (arm64) | PECA_1.41.0.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 |