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

The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference

View ORCID ProfileLex Flagel, View ORCID ProfileYaniv Brandvain, View ORCID ProfileDaniel R. Schrider
doi: https://doi.org/10.1101/336073
Lex Flagel
1Monsanto Company, Chesterfield, MO.
2Department of Plant and Microbial Biology, University of Minnesota, St. Paul, MN.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Lex Flagel
Yaniv Brandvain
2Department of Plant and Microbial Biology, University of Minnesota, St. Paul, MN.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Yaniv Brandvain
Daniel R. Schrider
3Department of Genetics, University of North Carolina, Chapel Hill, NC.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Daniel R. Schrider
  • For correspondence: drs@unc.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Article usage

Article usage: May 2018 to May 2022

AbstractFullPdf
May 20186310119
Jun 201827900909
Jul 20183700132
Aug 20184020133
Sep 2018721099
Oct 20184090222
Nov 201857282234
Dec 201836410180
Jan 20192071134
Feb 2019143698
Mar 201915611102
Apr 201914716134
May 2019112793
Jun 2019832449
Jul 20191081953
Aug 20192074185
Sep 2019671331
Oct 2019732134
Nov 2019611224
Dec 2019511336
Jan 2020861635
Feb 20201143631
Mar 2020773026
Apr 202040423
May 2020791647
Jun 202044619
Jul 202041525
Aug 202026711
Sep 20205375
Oct 202053821
Nov 2020321127
Dec 2020431823
Jan 2021231412
Feb 2021291916
Mar 2021302862
Apr 2021371119
May 202114511
Jun 20213499
Jul 2021141311
Aug 20212176
Sep 2021161312
Oct 20218105
Nov 202114913
Dec 20211741
Jan 202222211
Feb 20221833
Mar 20222219
Apr 202220212
May 20221738
Back to top
PreviousNext
Posted November 27, 2018.
Download PDF

Supplementary Material

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.
The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference
(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
The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference
Lex Flagel, Yaniv Brandvain, Daniel R. Schrider
bioRxiv 336073; doi: https://doi.org/10.1101/336073
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference
Lex Flagel, Yaniv Brandvain, Daniel R. Schrider
bioRxiv 336073; doi: https://doi.org/10.1101/336073

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

  • Evolutionary Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3504)
  • Biochemistry (7346)
  • Bioengineering (5321)
  • Bioinformatics (20259)
  • Biophysics (10013)
  • Cancer Biology (7742)
  • Cell Biology (11298)
  • Clinical Trials (138)
  • Developmental Biology (6437)
  • Ecology (9950)
  • Epidemiology (2065)
  • Evolutionary Biology (13318)
  • Genetics (9360)
  • Genomics (12581)
  • Immunology (7700)
  • Microbiology (19016)
  • Molecular Biology (7439)
  • Neuroscience (41029)
  • Paleontology (300)
  • Pathology (1229)
  • Pharmacology and Toxicology (2135)
  • Physiology (3157)
  • Plant Biology (6860)
  • Scientific Communication and Education (1272)
  • Synthetic Biology (1895)
  • Systems Biology (5311)
  • Zoology (1089)