This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see cancerclass.
Bioconductor version: 3.16
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")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cancerclass")
R Script | Cancerclass: An R package for development and validation of diagnostic tests from high-dimensional molecular data | |
Reference Manual |
biocViews | Cancer, Classification, Microarray, Software, Visualization |
Version | 1.42.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (10.5 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 |
Follow Installation instructions to use this package in your R session.
Source Package | cancerclass_1.42.0.tar.gz |
Windows Binary | cancerclass_1.42.0.zip (64-bit only) |
macOS Binary (x86_64) | cancerclass_1.42.0.tgz |
macOS Binary (arm64) | cancerclass_1.42.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/cancerclass |
Source Repository (Developer Access) | git clone [email protected]:packages/cancerclass |
Bioc Package Browser | https://code.bioconductor.org/browse/cancerclass/ |
Package Short Url | https://bioconductor.org/packages/cancerclass/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: