PECA
Probe-level Expression Change Averaging
Bioconductor version: 3.24 · Package version: 1.49.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("PECA")Details
| Maintainer | Tomi Suomi <tomi.suomi@utu.fi> |
| Author | Tomi Suomi, Jukka Hiissa, Laura L. Elo |
| License | GPL (>= 2) |
| 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/ |
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.
Documentation
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 |
Dependencies
Depends: R (>= 3.3)
Imports: ROTS, limma, affy, genefilter, preprocessCore, aroma.affymetrix, aroma.core
Suggests: SpikeIn