Detecting adaptive introgression in human evolution using convolutional neural networks

  1. Graham Gower  Is a corresponding author
  2. Pablo Iáñez Picazo
  3. Matteo Fumagalli
  4. Fernando Racimo
  1. University of Copenhagen, Denmark
  2. Imperial College London, United Kingdom

Peer review process

This article was accepted for publication via eLife's original publishing model. eLife publishes the authors' accepted manuscript as a PDF only version before the full Version of Record is ready for publication. Peer reviews are published along with the Version of Record.

History

  1. Version of Record published
  2. Accepted Manuscript published
  3. Accepted
  4. Received

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Graham Gower
  2. Pablo Iáñez Picazo
  3. Matteo Fumagalli
  4. Fernando Racimo
(2021)
Detecting adaptive introgression in human evolution using convolutional neural networks
eLife 10:e64669.
https://doi.org/10.7554/eLife.64669

Share this article

https://doi.org/10.7554/eLife.64669