Package: PAA
Version: 1.3.3
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, 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
NeedsCompilation: yes
Packaged: 2015-07-25 04:46:38 UTC; biocbuild
Built: R 3.2.1; x86_64-apple-darwin13.4.0; 2015-07-25 14:00:20 UTC; unix
