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cancerclass

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

Bioconductor version: Release (3.17)

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 (version "4.3") and enter:

if (!require("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")
Cancerclass: An R package for development and validation of diagnostic tests from high-dimensional molecular data PDF R Script
Reference Manual PDF

Details

biocViews Cancer, Classification, Microarray, Software, Visualization
Version 1.44.0
In Bioconductor since BioC 2.11 (R-2.15) (11 years)
License GPL 3
Depends R (>= 2.14.0), Biobase, binom, methods, stats
Imports
Linking To
Suggests cancerdata
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Package Archives

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

Source Package cancerclass_1.44.0.tar.gz
Windows Binary cancerclass_1.44.0.zip (64-bit only)
macOS Binary (x86_64) cancerclass_1.44.0.tgz
macOS Binary (arm64) cancerclass_1.44.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/cancerclass
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/cancerclass
Bioc Package Browser https://code.bioconductor.org/browse/cancerclass/
Package Short Url https://bioconductor.org/packages/cancerclass/
Package Downloads Report Download Stats