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.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("maPredictDSC")
AuthorAdi Laurentiu Tarca <atarca@med.wayne.edu>
Bioconductor views Classification Microarray
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

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

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

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.