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cancerclass

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

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

DOI: 10.18129/B9.bioc.cancerclass

Bioconductor version: Development (3.24)

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")):

Jan Budczies, Daniel Kosztyla. cancerclass: Development and validation of diagnostic tests from high-dimensional molecular data. doi:10.18129/B9.bioc.cancerclass, R package version 1.57.0, https://bioconductor.org/packages/cancerclass.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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")

Details

Package Archives

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