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 , Martin Eisenacher 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: 2026-07-03 22:23:55 UTC; root