cancerclass

DOI: 10.18129/B9.bioc.cancerclass    

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

Bioconductor version: Release (3.6)

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:

## 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	1.22.0
In Bioconductor since	BioC 2.11 (R-2.15) (5.5 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.

Source Package	cancerclass_1.22.0.tar.gz
Windows Binary	cancerclass_1.22.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	cancerclass_1.22.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/cancerclass
Package Short Url	http://bioconductor.org/packages/cancerclass/
Package Downloads Report	Download Stats