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Large-scale molecular data have been increasingly used as an important resource for prognostic prediction of diseases and detection of associated genes. However, standard approaches for omics data analysis ignore the group structure among genes encoded in functional relationships or pathway information.

Group spike-and-slab lasso generalized linear models for disease prediction and associated genes detection by incorporating pathway information