stepwiseCM: Stepwise Classification of Cancer Samples using High-dimensional Data Sets

Stepwise classification of cancer samples using multiple data sets. This package implements the classification strategy using two heterogeneous data sets without actually combining them. Package uses the data type for which full measurements are available at the first stage, and the data type for which only partial measurements are available at the second stage. For incoming new samples package quantifies how much improvement will be obtained if covariates of new samples for the data types at the second stage are measured. This packages suits for the application where study goal is not only obtain high classification accuracy, but also requires economically cheap classifier.

AuthorAskar Obulkasim
Date of publicationNone
MaintainerAskar Obulkasim <askar703@gmail.com>
LicenseGPL (>2)
Version1.20.0

View on Bioconductor

Files in this package

stepwiseCM/DESCRIPTION
stepwiseCM/NAMESPACE
stepwiseCM/R
stepwiseCM/R/Classifier.R stepwiseCM/R/Classifier.par.R stepwiseCM/R/Curve.generator.R stepwiseCM/R/Private.R stepwiseCM/R/Proximity.R stepwiseCM/R/RS.generator.R stepwiseCM/R/Step.pred.R
stepwiseCM/build
stepwiseCM/build/vignette.rds
stepwiseCM/data
stepwiseCM/data/CNS.rda
stepwiseCM/data/datalist
stepwiseCM/inst
stepwiseCM/inst/doc
stepwiseCM/inst/doc/stepwiseCM.R
stepwiseCM/inst/doc/stepwiseCM.Rnw
stepwiseCM/inst/doc/stepwiseCM.pdf
stepwiseCM/man
stepwiseCM/man/CNS.Rd stepwiseCM/man/Classifier.Rd stepwiseCM/man/Classifier.par.Rd stepwiseCM/man/Curve.generator.Rd stepwiseCM/man/Proximity.Rd stepwiseCM/man/RS.generator.Rd stepwiseCM/man/Step.pred.Rd stepwiseCM/man/stepwiseCM-package.Rd
stepwiseCM/vignettes
stepwiseCM/vignettes/stepwiseCM.Rnw

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.