Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

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
1Department of Human Genetics, The University of Chicago, Chicago, IL, 60637, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Gao Wang
Abhishek Sarkar
1Department of Human Genetics, The University of Chicago, Chicago, IL, 60637, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Abhishek Sarkar
Peter Carbonetto
1Department of Human Genetics, The University of Chicago, Chicago, IL, 60637, USA
2Research Computing Center, The University of Chicago, Chicago, IL, 60637, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Peter Carbonetto
Matthew Stephens
1Department of Human Genetics, The University of Chicago, Chicago, IL, 60637, USA
3Department of Statistics, The University of Chicago, Chicago, IL, 60637, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Matthew Stephens
  • For correspondence: mstephens@uchicago.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Data/Code
  • Preview PDF
Loading
  • https://github.com/stephenslab/susie-paper

Back to top
PreviousNext
Posted June 01, 2020.
Download PDF
Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A simple new approach to variable selection in regression, with application to genetic fine-mapping
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
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
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
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

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioinformatics
Subject Areas
All Articles
  • Animal Behavior and Cognition (3482)
  • Biochemistry (7335)
  • Bioengineering (5305)
  • Bioinformatics (20218)
  • Biophysics (9988)
  • Cancer Biology (7712)
  • Cell Biology (11276)
  • Clinical Trials (138)
  • Developmental Biology (6426)
  • Ecology (9926)
  • Epidemiology (2065)
  • Evolutionary Biology (13294)
  • Genetics (9353)
  • Genomics (12564)
  • Immunology (7685)
  • Microbiology (18977)
  • Molecular Biology (7425)
  • Neuroscience (40931)
  • Paleontology (299)
  • Pathology (1226)
  • Pharmacology and Toxicology (2131)
  • Physiology (3145)
  • Plant Biology (6847)
  • Scientific Communication and Education (1272)
  • Synthetic Biology (1893)
  • Systems Biology (5306)
  • Zoology (1086)