Package: PAA
Version: 1.47.0
Title: PAA (Protein Array Analyzer)
Authors@R: c(person("Michael", "Turewicz", role=c("aut", "cre"),
		    email="michael.turewicz@rub.de"),
	     person("Martin", "Eisenacher", role=c("ctb", "cre"),
		    email="martin.eisenacher@rub.de"))
Author: Michael Turewicz [aut, cre], Martin Eisenacher [ctb, cre]
Maintainer: Michael Turewicz <michael.turewicz@rub.de>, Martin
 Eisenacher <martin.eisenacher@rub.de>
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
Description: 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.
License: BSD_3_clause + file LICENSE
URL: http://www.ruhr-uni-bochum.de/mpc/software/PAA/
SystemRequirements: C++ software package Random Jungle
biocViews: Classification, Microarray, OneChannel, Proteomics
Config/pak/sysreqs: libglpk-dev libpng-dev libxml2-dev libssl-dev
        zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:39:56 UTC
RemoteUrl: https://github.com/bioc/PAA
RemoteRef: HEAD
RemoteSha: 413ee068d682fdc5e67e9d8a4c8cbde1c35c2193
NeedsCompilation: yes
Packaged: 2026-05-30 09:37:35 UTC; root
Built: R 4.6.0; x86_64-w64-mingw32; 2026-05-30 09:54:58 UTC; windows
Archs: x64
