cancerclass
Development and validation of diagnostic tests from high-dimensional molecular data
Bioconductor version: Release (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 hotmail.com>
citation("cancerclass")
):
Installation
To install this package, start R (version "4.4") 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 | R Script | |
Reference Manual |
Details
biocViews | Cancer, Classification, Microarray, Software, Visualization |
Version | 1.50.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (12 years) |
License | GPL 3 |
Depends | R (>= 2.14.0), Biobase, binom, methods, stats |
Imports | |
System Requirements | |
URL |
See More
Suggests | cancerdata |
Linking To | |
Enhances | |
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Imports Me | |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | cancerclass_1.50.0.tar.gz |
Windows Binary (x86_64) | cancerclass_1.50.0.zip |
macOS Binary (x86_64) | cancerclass_1.50.0.tgz |
macOS Binary (arm64) | cancerclass_1.50.0.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 |