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: 2026-10-06 22:44:16 UTC; biocbuild
git_url: https://git.bioconductor.org/packages/maPredictDSC
git_branch: devel
git_last_commit: 2a34fd8
git_last_commit_date: 2026-10-05
Repository: Bioconductor 3.24
Date/Publication: 2026-10-06
NeedsCompilation: no
