Back to search

Article

Variational Inference Using Approximate Likelihood Under the Coalescent With Recombination

2020-08-20

Abstract excerpt

Coalescent methods are proven and powerful tools for population genetics, phylogenetics, epidemiology, and other fields. A promising avenue for the analysis of large genomic alignments, which are increasingly common, are coalescent hidden Markov model (coalHMM) methods, but these methods have lacked general usability and flexibility. We introduce a novel method for automatically learning a coalHMM and inferring th...

Topics

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

Identifiers and source

Literature Corpus work
3580783e-350c-5f3f-a21c-d37646fb4ab8
DOI
10.1101/2020.08.19.258137
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.
Variational Inference Using Approximate Likelihood Under the Coalescent With RecombinationDOI 10.1101/2020.08.19.258137
Select a neighboring publication to make it the new centre.