maPredictDSC: Phenotype prediction using microarray data: approach of the best overall team in the IMPROVER Diagnostic Signature Challenge

Share:

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.

Author
Adi Laurentiu Tarca <atarca@med.wayne.edu>
Date of publication
None
Maintainer
Adi Laurentiu Tarca <atarca@med.wayne.edu>
License
GPL-2
Version
1.12.0
URLs

View on Bioconductor

Man pages

aggregateDSC
Combine predictions from several fitted models fitted with...
maPredictDSC-internal
Internal maPredictDSC functions
perfDSC
Area Under the Precision-Recall Curve (AUPR), Belief...
predictDSC
Phenotype prediction using microarray data: approach of the...

Files in this package

maPredictDSC/DESCRIPTION
maPredictDSC/NAMESPACE
maPredictDSC/R
maPredictDSC/R/aggregateDSC.R
maPredictDSC/R/maPredictDSC.R
maPredictDSC/R/perfDSC.R
maPredictDSC/R/predictDSC.R
maPredictDSC/build
maPredictDSC/build/vignette.rds
maPredictDSC/inst
maPredictDSC/inst/doc
maPredictDSC/inst/doc/maPredictDSC.R
maPredictDSC/inst/doc/maPredictDSC.Rnw
maPredictDSC/inst/doc/maPredictDSC.pdf
maPredictDSC/man
maPredictDSC/man/aggregateDSC.Rd
maPredictDSC/man/maPredictDSC-internal.Rd
maPredictDSC/man/perfDSC.Rd
maPredictDSC/man/predictDSC.Rd
maPredictDSC/vignettes
maPredictDSC/vignettes/maPredictDSC.Rnw
maPredictDSC/vignettes/maPredictDSC.bib