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Application of post-selection inference to multi-omics data yields insights into the etiologies of human diseases

Ronald Yurko, Max G’Sell, Kathryn Roeder, Bernie Devlin
doi: https://doi.org/10.1101/806471
Ronald Yurko
aDepartment of Statistics & Data Science, Carnegie Mellon University
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  • For correspondence: ryurko@andrew.cmu.edu
Max G’Sell
aDepartment of Statistics & Data Science, Carnegie Mellon University
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Kathryn Roeder
aDepartment of Statistics & Data Science, Carnegie Mellon University
bDepartment of Computational Biology, Carnegie Mellon University
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Bernie Devlin
cDepartment of Psychiatry, University of Pittsburgh School of Medicine
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  • https://github.com/ryurko/adaptMT

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Posted October 16, 2019.
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Application of post-selection inference to multi-omics data yields insights into the etiologies of human diseases
Ronald Yurko, Max G’Sell, Kathryn Roeder, Bernie Devlin
bioRxiv 806471; doi: https://doi.org/10.1101/806471
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Application of post-selection inference to multi-omics data yields insights into the etiologies of human diseases
Ronald Yurko, Max G’Sell, Kathryn Roeder, Bernie Devlin
bioRxiv 806471; doi: https://doi.org/10.1101/806471

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