Package: PAA
Version: 1.0.0
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 (>= 3.0.3), Rcpp (>= 0.10.6.1)
Imports: e1071, 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
        pre-processing (background correction, batch filtering,
        normalization) univariate feature pre-selection 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.medizinisches-proteom-center.de/PAA
SystemRequirements: C++ software package Random Jungle
biocViews: Classification, Microarray, OneChannel, Proteomics
Packaged: 2014-10-14 04:29:59 UTC; biocbuild
Built: R 3.1.1; x86_64-apple-darwin10.8.0; 2014-10-14 14:39:10 UTC; unix
