Bioconductor-mirror/GRridge: Better prediction by use of co-data: Adaptive group-regularized ridge regression

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.

Getting started

Package details

AuthorMark A. van de Wiel <[email protected]>
Bioconductor views Bayesian Classification GO GeneExpression GenePrediction GeneSetEnrichment GraphAndNetwork KEGG Pathways RNASeq Regression Survival
MaintainerMark A. van de Wiel <[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
Bioconductor-mirror/GRridge documentation built on May 29, 2017, 4:22 a.m.