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HT-eQTL: Integrative Expression Quantitative Trait Loci Analysis in a Large Number of Human Tissues [article]

Gen Li, Dereje D. Jima, Fred A. Wright, Andrew B. Nobel
<span title="2017-09-07">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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<span title="2017-01-19">2017</span> <span class="release-stage" >pre-print</span>
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Expression quantitative trait loci (eQTL) analysis identifies genetic markers associated with the expression of a gene.  ...  We develop an integrative method under a hierarchical Bayesian framework for eQTL analysis in a large number of tissues.  ...  Acknowledgements The authors would like to thank members of the GTEx Analysis Working Group for helpful comments and discussions.  ... 
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Citation

Gen Li, Dereje D. Jima, Fred A. Wright, Andrew B. Nobel. "HT-eQTL: Integrative Expression Quantitative Trait Loci Analysis in a Large Number of Human Tissues." arXiv (2017)

HT-eQTL: integrative expression quantitative trait loci analysis in a large number of human tissues

Gen Li, Dereje Jima, Fred A. Wright, Andrew B. Nobel
<span title="2018-03-09">2018</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/n5zrklrhlzhtdorf4rk4rmeo3i" style="color: black;">BMC Bioinformatics</a> </i> &nbsp;

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https://web.archive.org/web/20180720170735/https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2088-3?site=bmcbioinformatics.biomedcentral.com

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Expression quantitative trait loci (eQTL) analysis identifies genetic markers associated with the expression of a gene.  ...  Results: We develop an integrative method under a hierarchical Bayesian framework for eQTL analysis in a large number of tissues.  ...  The Matlab code for implementing the method, including a numerical example, is publicly available at https://github.com/reagan0323/MT-eQTL/ tree/master/HT-eQTL.  ... 
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Citation

Gen Li, Dereje Jima, Fred A. Wright, Andrew B. Nobel. "HT-eQTL: integrative expression quantitative trait loci analysis in a large number of human tissues." BMC Bioinformatics 19.1 (2018)