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This is the development version of cancerclass; for the stable release version, see cancerclass.

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

Bioconductor version: Development (3.20)

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>

Citation (from within R, enter citation("cancerclass")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


To view documentation for the version of this package installed in your system, start R and enter:

Cancerclass: An R package for development and validation of diagnostic tests from high-dimensional molecular data PDF R Script
Reference Manual PDF


biocViews Cancer, Classification, Microarray, Software, Visualization
Version 1.49.0
In Bioconductor since BioC 2.11 (R-2.15) (12 years)
License GPL 3
Depends R (>= 2.14.0), Biobase, binom, methods, stats
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Source Package cancerclass_1.49.0.tar.gz
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macOS Binary (x86_64) cancerclass_1.49.0.tgz
macOS Binary (arm64) cancerclass_1.49.0.tgz
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