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 <[email protected]>|
|Bioconductor views||Bayesian Classification GO GeneExpression GenePrediction GeneSetEnrichment GraphAndNetwork KEGG Pathways RNASeq Regression Survival|
|Maintainer||Mark A. van de Wiel <[email protected]>|
|Package repository||View on GitHub|
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