cancerclass

DOI: 10.18129/B9.bioc.cancerclass    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see cancerclass.

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

Bioconductor version: 3.13

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 (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("cancerclass")

For older versions of R, please refer to the appropriate Bioconductor release.

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	1.36.0
In Bioconductor since	BioC 2.11 (R-2.15) (9 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
Links To Me
Build Report

Package Archives

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

Source Package	cancerclass_1.36.0.tar.gz
Windows Binary	cancerclass_1.36.0.zip
macOS 10.13 (High Sierra)	cancerclass_1.36.0.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	https://bioconductor.org/packages/cancerclass/
Package Downloads Report	Download Stats