MT-HESS: an efficient Bayesian approach for simultaneous association detection in OMICS datasets, with application to eQTL mapping in multiple tissues

MT-HESS: an efficient Bayesian approach for simultaneous association detection in OMICS datasets, with application to eQTL mapping in multiple tissues

Motivation: Analysing the joint association between a large set of responses and predictors is a fundamental statistical task in integrative genomics, exemplified by numerous expression Quantitative Trait Loci (eQTL) studies. Of particular interest are the so-called ‘hotspots’, important genetic var...

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Bibliographic Details
Main Authors: Lewin, Alex, Saadi, Habib, Peters, James E., Moreno-Moral, Aida, Lee, James C., Smith, Kenneth G. C., Petretto, Enrico, Bottolo, Leonardo, Richardson, Sylvia
Format: Online
Language:English
Published: Oxford University Press 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4743623/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4743623/

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