Table II. Main Bayesian approaches for integrating multi-platform molecular data.

BEHAVIOR: Bayesian hierarchical varying-sparsity regression model; BGAM: Bayesian generalized additive model; B-SEM: Bayesian structural equation model; BVS-SL: Bayesian variable selection with graphical structure learning; CNV: copy number variation; G-iBAG: a generalized version iBAG; HIW: hyper-inverse Wishart distribution; H-RVM: hierarchical relevance vector machines; iBAG: integrative Bayesian analysis of genomics data; IMR: Bayesian integrative multi-regression model; iNET: integrative network-based analysis; MCMC: Markov chain Monte Carlo; MLBM: multi-layered Bayesian model; NBHM: network-based Bayesian hierarchical model; peNMIG: a parameter-expanded normal-mixture-of-inverse-gamma distribution; pMOM: a product moment distribution; SNP: single nucleotide polymorphism.