This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see cancerclass.
Bioconductor version: 3.7
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("cancerclass")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cancerclass")
R Script | Cancerclass: An R package for development and validation of diagnostic tests from high-dimensional molecular data | |
Reference Manual |
biocViews | Cancer, Classification, Microarray, Software, Visualization |
Version | 1.24.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (6 years) |
License | GPL 3 |
Depends | R (>= 2.14.0), Biobase, binom, methods, stats |
Imports | |
LinkingTo | |
Suggests | cancerdata |
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Imports Me | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | cancerclass_1.24.0.tar.gz |
Windows Binary | cancerclass_1.24.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | cancerclass_1.24.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/cancerclass |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/cancerclass |
Package Short Url | http://bioconductor.org/packages/cancerclass/ |
Package Downloads Report | Download Stats |
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