Fig. 1From: Integrating gene set analysis and nonlinear predictive modeling of disease phenotypes using a Bayesian multitask formulationSchematic description of sparse Bayesian multiple kernel learning. For each gene set, the corresponding kernel considers only the features extracted from or related to the genes in this gene set. We then learn a weighted sparse combination of these kernels while training a binary classifier to predict the phenotype valuesBack to article page