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

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.

AuthorAdi Laurentiu Tarca <atarca@med.wayne.edu>
Date of publicationNone
MaintainerAdi Laurentiu Tarca <atarca@med.wayne.edu>
LicenseGPL-2
Version1.12.0
http://bioinformaticsprb.med.wayne.edu/maPredictDSC

View on Bioconductor

Files

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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