cancerclass

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

Bioconductor version: Release (2.11)

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:

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

To cite this package in a publication, start R and enter:

    citation("cancerclass")

Documentation

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 1.2.1
In Bioconductor since BioC 2.11 (R-2.15)
License GPL 3
Depends R (>= 2.10.1), Biobase, binom, methods, stats
Imports
Suggests cancerdata
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source cancerclass_1.2.1.tar.gz
Windows Binary cancerclass_1.2.1.zip (32- & 64-bit)
MacOS 10.5 (Leopard) cancerclass_1.2.1.tgz
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