MT-HESS is a Bayesain hierarchical model that analyses the association between a large set of predictors, e.g. SNPs (single nucleotide polymorphisms), and many responses, e.g. gene expression, in multiple tissues, cells or conditions.
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MT-HESS: an efficient Bayesian approach for simultaneous association detection in OMICS datasets, with application to eQTL mapping in multiple tissues.
Lewin A, Saadi H, Peters JE, Moreno-Moral A, Lee JC, Smith KG, Petretto E, Bottolo L, Richardson S.
Bioinformatics. 2015 Oct 26. pii: btv568