Package: maPredictDSC
Version: 1.51.1
Date: 2013-6-27
Title: Phenotype prediction using microarray data: approach of the best
        overall team in the IMPROVER Diagnostic Signature Challenge
Author: Adi Laurentiu Tarca <atarca@med.wayne.edu>
Depends: R (>= 2.15.0),
        MASS,affy,limma,gcrma,ROC,class,e1071,caret,hgu133plus2.db,ROCR,AnnotationDbi,jsonlite
Suggests: parallel
Maintainer: Adi Laurentiu Tarca <atarca@med.wayne.edu>
Description: This package implements the classification pipeline of the
        best overall team (Team221) in the IMPROVER Diagnostic
        Signature Challenge. Additional functionality is added to
        compare 27 combinations of data preprocessing, feature
        selection and classifier types.
License: GPL-2
URL: https://tarcalab.med.wayne.edu/software/
biocViews: Microarray, Classification
Collate: aggregateDSC.R perfDSC.R predictDSC.R maPredictDSC.R
        getLungCancerData.R
Imports:
LazyLoad: yes
Packaged: 2026-10-07 08:43:09 UTC; root
Config/pak/sysreqs: libicu-dev libpng-dev libssl-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-10-05 18:59:24 UTC
RemoteUrl: https://github.com/bioc/maPredictDSC
RemoteRef: HEAD
RemoteSha: 2a34fd8224d02fa29d657ea19d080c6956e2255f
NeedsCompilation: no