PECA
This is the development version of PECA; for the stable release version, see PECA.
All Bioconductor versions of PECA
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14
Probe-level Expression Change Averaging
Bioconductor version: 3.24 · Package version: 1.49.0
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.
Author: Tomi Suomi, Jukka Hiissa, Laura L. Elo
Maintainer: Tomi Suomi <tomi.suomi at utu.fi>
Citation
From within R, enter citation("PECA"):
Tomi Suomi, Jukka Hiissa, Laura L. Elo. PECA: Probe-level Expression Change Averaging. doi:10.18129/B9.bioc.PECA, R package version 1.49.0, https://bioconductor.org/packages/PECA.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("PECA")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.49.0 |
| License | GPL (>= 2) |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 2.14 (R-3.1) (12 years) |
| Downloads rank | 1140 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | DifferentialExpression, DifferentialSplicing, ExonArray, GeneExpression, Microarray, Proteomics, Software |
| Package Short Url | https://bioconductor.org/packages/PECA/ |
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 |
Download
Follow the installation instructions to use this package in your R session.
| Source package | PECA_1.49.0.tar.gz |
| Windows binary (x86_64) | PECA_1.49.0.zip |
| macOS binary (arm64) | PECA_1.49.0.tgz |
| macOS binary (x86_64) | PECA_1.49.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/PECA |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/PECA |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 3.3)
Imports: ROTS, limma, affy, genefilter, preprocessCore, aroma.affymetrix, aroma.core
Suggests: SpikeIn