Bioc2026 Registration Open!

PAA

PAA (Protein Array Analyzer)

Bioconductor version: 3.23 · Package version: 1.46.0

PAA imports single color (protein) microarray data that has been saved in gpr file format - esp. ProtoArray data. After preprocessing (background correction, batch filtering, normalization) univariate feature preselection is performed (e.g., using the "minimum M statistic" approach - hereinafter referred to as "mMs"). Subsequently, a multivariate feature selection is conducted to discover biomarker candidates. Therefore, either a frequency-based backwards elimination aproach or ensemble feature selection can be used. PAA provides a complete toolbox of analysis tools including several different plots for results examination and evaluation.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("PAA")

Details

MaintainerMichael Turewicz <michael.turewicz@rub.de>, Martin Eisenacher <martin.eisenacher@rub.de>
AuthorMichael Turewicz [aut, cre], Martin Eisenacher [ctb, cre]
LicenseBSD_3_clause + file LICENSE
URLhttp://www.ruhr-uni-bochum.de/mpc/software/PAA/
System RequirementsC++ software package Random Jungle
Downloads rank641
Source branchRELEASE_3_23
biocViewsClassification, Microarray, OneChannel, Proteomics, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagePAA_1.46.0.tar.gz
Windows binary (x86_64)PAA_1.46.0.zip
macOS binary (arm64)PAA_1.46.0.tgz
macOS binary (x86_64)PAA_1.46.0.tgz
Dependencies

Depends: R (>= 3.2.0), Rcpp (>= 0.11.6)

Imports: e1071, gplots, gtools, limma, MASS, mRMRe, randomForest, ROCR, sva

LinkingTo: Rcpp

Suggests: BiocStyle, RUnit, BiocGenerics, vsn