To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("stepwiseCM")

In most cases, you don't need to download the package archive at all.

stepwiseCM

Stepwise Classification of Cancer Samples using High-dimensional Data Sets

Bioconductor version: Release (3.0)

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.

Author: Askar Obulkasim

Maintainer: Askar Obulkasim <askar703 at gmail.com>

Citation (from within R, enter citation("stepwiseCM")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("stepwiseCM")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("stepwiseCM")

 

PDF R Script stepwiseCM
PDF   Reference Manual

Details

biocViews Classification, Microarray, Software
Version 1.12.0
In Bioconductor since BioC 2.9 (R-2.14)
License GPL (>2)
Depends R (>= 2.14), randomForest, MAclinical, tspair, pamr, snowfall, glmpath, penalized, e1071, Biobase
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Package Source stepwiseCM_1.12.0.tar.gz
Windows Binary stepwiseCM_1.12.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) stepwiseCM_1.12.0.tgz
Mac OS X 10.9 (Mavericks) stepwiseCM_1.12.0.tgz
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