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IGREX for quantifying the impact of genetically regulated expression on phenotypes

Mingxuan Cai, Lin S. Chen, Jin Liu, Can Yang
doi: https://doi.org/10.1101/546580
Mingxuan Cai
1Department of Mathematics, The Hong Kong University of Science and Technology
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Lin S. Chen
2Department of Public Health Sciences, The University of Chicago
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Jin Liu
3Center for Quantitative Medicine, Duke-NUS Medical School
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  • For correspondence: jin.liu@duke-nus.edu.sg macyang@ust.hk
Can Yang
1Department of Mathematics, The Hong Kong University of Science and Technology
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  • For correspondence: jin.liu@duke-nus.edu.sg macyang@ust.hk
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Article Information

doi 
https://doi.org/10.1101/546580
History 
  • July 5, 2019.

Article Versions

  • Version 1 (February 11, 2019 - 16:53).
  • You are viewing Version 2, the most recent version of this article.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Mingxuan Cai1,
  2. Lin S. Chen2,
  3. Jin Liu3,* and
  4. Can Yang1,*
  1. 1Department of Mathematics, The Hong Kong University of Science and Technology
  2. 2Department of Public Health Sciences, The University of Chicago
  3. 3Center for Quantitative Medicine, Duke-NUS Medical School
  1. ↵*Correspondence should be addressed to Jin Liu (jin.liu{at}duke-nus.edu.sg) and Can Yang (macyang{at}ust.hk)
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Posted July 05, 2019.
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IGREX for quantifying the impact of genetically regulated expression on phenotypes
Mingxuan Cai, Lin S. Chen, Jin Liu, Can Yang
bioRxiv 546580; doi: https://doi.org/10.1101/546580
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IGREX for quantifying the impact of genetically regulated expression on phenotypes
Mingxuan Cai, Lin S. Chen, Jin Liu, Can Yang
bioRxiv 546580; doi: https://doi.org/10.1101/546580

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