Nothing
This package allows the use of multiple sources of co-data (e.g. external p-values, gene lists, annotation) to improve prediction of binary, continuous and survival response using (logistic, linear or Cox) group-regularized ridge regression. It also facilitates post-hoc variable selection and prediction diagnostics by cross-validation using ROC curves and AUC.
Package details |
|
---|---|
Author | Mark A. van de Wiel <mark.vdwiel@vumc.nl>, Putri W. Novianti <p.novianti@vumc.nl> |
Bioconductor views | Bayesian Classification GO GeneExpression GenePrediction GeneSetEnrichment GraphAndNetwork ImmunoOncology KEGG Pathways RNASeq Regression Survival |
Maintainer | Mark A. van de Wiel <mark.vdwiel@vumc.nl> |
License | GPL-3 |
Version | 1.14.0 |
Package repository | View on Bioconductor |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.