recipe bioconductor-rcaspar

A package for survival time prediction based on a piecewise baseline hazard Cox regression model.

Homepage

https://bioconductor.org/packages/3.11/bioc/html/RCASPAR.html

License

GPL (>=3)

Recipe

/bioconductor-rcaspar/meta.yaml

Links

biotools: rcaspar, doi: 10.1038/nmeth.3252

The package is the R-version of the C-based software \bold{CASPAR} (Kaderali,2006: \url{http://bioinformatics.oxfordjournals.org/content/22/12/1495}). It is meant to help predict survival times in the presence of high-dimensional explanatory covariates. The model is a piecewise baseline hazard Cox regression model with an Lq-norm based prior that selects for the most important regression coefficients, and in turn the most relevant covariates for survival analysis. It was primarily tried on gene expression and aCGH data, but can be used on any other type of high-dimensional data and in disciplines other than biology and medicine.

package bioconductor-rcaspar

(downloads) docker_bioconductor-rcaspar

Versions

1.34.0-0, 1.32.0-0, 1.30.0-1, 1.30.0-0, 1.28.0-0, 1.26.0-0, 1.24.0-0, 1.22.0-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-rcaspar

and update with:

conda update bioconductor-rcaspar

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-rcaspar:<tag>

(see bioconductor-rcaspar/tags for valid values for <tag>)