To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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 (3.4)

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>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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 1.18.0
In Bioconductor since BioC 2.11 (R-2.15) (4.5 years)
License GPL 3
Depends R (>= 2.14.0), Biobase, binom, methods, stats
Imports
LinkingTo
Suggests cancerdata
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source cancerclass_1.18.0.tar.gz
Windows Binary cancerclass_1.18.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) cancerclass_1.18.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/cancerclass/tree/release-3.4
Package Short Url http://bioconductor.org/packages/cancerclass/
Package Downloads Report Download Stats

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