stepwiseCM: Stepwise Classification of Cancer Samples using High-dimensional Data Sets
Version 1.21.0

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.

Package details

AuthorAskar Obulkasim
Bioconductor views Classification Microarray
MaintainerAskar Obulkasim <askar703@gmail.com>
LicenseGPL (>2)
Version1.21.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("stepwiseCM")

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stepwiseCM documentation built on May 31, 2017, 11:47 a.m.