To install this package, start R and enter:

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

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

cancerclass

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

Bioconductor version: Release (2.14)

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>

To install this package, start R and enter:

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

Installation

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 1.8.0
In Bioconductor since BioC 2.11 (R-2.15)
License GPL 3
Depends R (>= 2.14.0), Biobase, binom, methods, stats
Imports
Suggests cancerdata
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source cancerclass_1.8.0.tar.gz
Windows Binary cancerclass_1.8.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) cancerclass_1.8.0.tgz
Mac OS X 10.9 (Mavericks) cancerclass_1.8.0.tgz
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