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

cancerclass

Development and validation of diagnostic tests from high-dimensional molecular data

Bioconductor version: 2.13

The classification protocol starts with a feature selection step and continues with nearest-centroid classification. The accurarcy of the predictor can be evaluated using training and test set validation, leave-one-out cross-validation or in a multiple random validation protocol. Methods for calculation and visualization of continuous prediction scores allow to balance sensitivity and specificity and define a cutoff value according to clinical requirements.

Author: Jan Budczies, Daniel Kosztyla

Maintainer: Daniel Kosztyla <danielkossi at hotmail.com>

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("cancerclass")

 

PDF	R Script	Cancerclass: An R package for development and validation of diagnostic tests from high-dimensional molecular data
PDF		Reference Manual

Details

biocViews	Cancer, Classification, Microarray, Software, Visualization
Version	1.6.0
In Bioconductor since	BioC 2.11 (R-2.15)
License	GPL 3
Depends	R (>= 2.14.0), Biobase, binom, methods, stats
Imports
Suggests
System Requirements
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Package Archives

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

Package Source	cancerclass_1.6.0.tar.gz
Windows Binary	cancerclass_1.6.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	cancerclass_1.6.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats