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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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Article Information

doi 
https://doi.org/10.1101/806471
History 
  • October 16, 2019.

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  • You are currently viewing Version 1 of this article (October 16, 2019 - 16:26).
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Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Ronald Yurkoa,*,
  2. Max G’Sella,
  3. Kathryn Roedera,b and
  4. Bernie Devlinc
  1. aDepartment of Statistics & Data Science, Carnegie Mellon University
  2. bDepartment of Computational Biology, Carnegie Mellon University
  3. cDepartment of Psychiatry, University of Pittsburgh School of Medicine
  1. ↵*Corresponding author; email: ryurko{at}andrew.cmu.edu
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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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