cancerclass
Development and validation of diagnostic tests from high-dimensional molecular data
Bioconductor version: 3.23 · Package version: 1.56.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("cancerclass")Details
| Maintainer | Daniel Kosztyla <danielkossi@hotmail.com> |
| Author | Jan Budczies, Daniel Kosztyla |
| License | GPL 3 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Cancer, Classification, Microarray, Software, Visualization |
| Package Short Url | https://bioconductor.org/packages/cancerclass/ |
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 1.56.0, https://bioconductor.org/packages/cancerclass.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | cancerclass_1.56.0.tar.gz |
| Windows binary (x86_64) | cancerclass_1.56.0.zip |
| macOS binary (arm64) | cancerclass_1.56.0.tgz |
| macOS binary (x86_64) | cancerclass_1.56.0.tgz |