PECA
This is the released version of PECA; for the devel version, see PECA.
Probe-level Expression Change Averaging
Bioconductor version: Release (3.21)
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 "4.5") 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")| PECA: Probe-level Expression Change Averaging | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DifferentialExpression, DifferentialSplicing, ExonArray, GeneExpression, Microarray, Proteomics, Software |
| Version | 1.44.0 |
| In Bioconductor since | BioC 2.14 (R-3.1) (11.5 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_1.44.0.tar.gz |
| Windows Binary (x86_64) | PECA_1.44.0.zip (64-bit only) |
| macOS Binary (x86_64) | PECA_1.44.0.tgz |
| macOS Binary (arm64) | PECA_1.44.0.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 |