DOI: 10.18129/B9.bioc.GRridge    

This is the development version of GRridge; for the stable release version, see GRridge.

Better prediction by use of co-data: Adaptive group-regularized ridge regression

Bioconductor version: Development (3.16)

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.

Author: Mark A. van de Wiel <mark.vdwiel at>, Putri W. Novianti <p.novianti at>

Maintainer: Mark A. van de Wiel <mark.vdwiel at>

Citation (from within R, enter citation("GRridge")):


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PDF R Script GRridge
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Text   NEWS


biocViews Bayesian, Classification, GO, GeneExpression, GenePrediction, GeneSetEnrichment, GraphAndNetwork, ImmunoOncology, KEGG, Pathways, RNASeq, Regression, Software, Survival
Version 1.21.0
In Bioconductor since BioC 3.5 (R-3.4) (5.5 years)
License GPL-3
Depends R (>= 3.2), penalized, Iso, survival, methods, graph, stats, glmnet, mvtnorm
Suggests testthat
Depends On Me
Imports Me
Suggests Me
Links To Me
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