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Recently, the perfect phylogeny model with persistent characters has attracted great attention in the literature. It is based on the assumption that complex traits or characters can only be gained once and lost once in the course of evolution. Here,
Externí odkaz:
http://arxiv.org/abs/2011.13479
We describe a new and computationally efficient Bayesian methodology for inferring species trees and demographics from unlinked binary markers. Likelihood calculations are carried out using diffusion models of allele frequency dynamics combined with
Externí odkaz:
http://arxiv.org/abs/1909.07276
Bayesian inference methods rely on numerical algorithms for both model selection and parameter inference. In general, these algorithms require a high computational effort to yield reliable estimates. One of the major challenges in phylogenetics is th
Externí odkaz:
http://arxiv.org/abs/1703.05471
Akademický článek
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Publikováno v:
In Advances in Applied Mathematics October 2021 131
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics; November 2024, Vol. 21 Issue: 6 p2246-2257, 12p
Publikováno v:
Systematic Biology, 2019 Mar 01. 68(2), 219-233.
Externí odkaz:
https://www.jstor.org/stable/26753207
Publikováno v:
Systematic Biology, 2019 Mar 01. 68(2), 358-364.
Externí odkaz:
https://www.jstor.org/stable/26753216
Autor:
Bouckaert, Remco R.
An algorithm for generating the structure of a directed acyclic graph from data using the notion of causal input lists is presented. The algorithm manipulates the ordering of the variables with operations which very much resemble arc reversal. Operat
Externí odkaz:
http://arxiv.org/abs/1303.5392
Autor:
Bouckaert, Remco R.
Simulation schemes for probabilistic inference in Bayesian belief networks offer many advantages over exact algorithms; for example, these schemes have a linear and thus predictable runtime while exact algorithms have exponential runtime. Experiments
Externí odkaz:
http://arxiv.org/abs/1302.6793