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A simple new approach to variable selection in regression, with application to genetic fine-mapping

View ORCID ProfileGao Wang, View ORCID ProfileAbhishek Sarkar, View ORCID ProfilePeter Carbonetto, View ORCID ProfileMatthew Stephens
doi: https://doi.org/10.1101/501114
Gao Wang
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Abhishek Sarkar
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Peter Carbonetto
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Matthew Stephens
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Article Information

doi 
https://doi.org/10.1101/501114
History 
  • December 19, 2018.

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  • You are currently viewing Version 1 of this article (December 19, 2018 - 17:17).
  • Version 2 (July 29, 2019 - 11:53).
  • Version 3 (June 1, 2020 - 23:21).
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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. Gao Wang,
  2. Abhishek Sarkar,
  3. Peter Carbonetto and
  4. Matthew Stephens
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Posted December 19, 2018.
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A simple new approach to variable selection in regression, with application to genetic fine-mapping
Gao Wang, Abhishek Sarkar, Peter Carbonetto, Matthew Stephens
bioRxiv 501114; doi: https://doi.org/10.1101/501114
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A simple new approach to variable selection in regression, with application to genetic fine-mapping
Gao Wang, Abhishek Sarkar, Peter Carbonetto, Matthew Stephens
bioRxiv 501114; doi: https://doi.org/10.1101/501114

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