Back to search

Article

This population does not exist: learning the distribution of evolutionary histories with generative adversarial networks

2022-09-17

Abstract excerpt

<h4>ABSTRACT</h4> Numerous studies over the last decade have demonstrated the utility of machine learning methods when applied to population genetic tasks. More recent studies show the potential of deep learning methods in particular, which allow researchers to approach problems without making prior assumptions about how the data should be summarized or manipulated, instead learning their own internal representat...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
66c9bcbb-a049-587b-b0ec-77c655d23adf
DOI
10.1101/2022.09.17.508145
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
This population does not exist: learning the distribution of evolutionary histories with generative adversarial networksDOI 10.1101/2022.09.17.508145
Select a neighboring publication to make it the new centre.