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A Surrogate Function for One-Dimensional Phylogenetic Likelihoods

Phylogenetics has seen a steady increase in data set size and substitution model complexity, which require increasing amounts of computational power to compute likelihoods. This motivates strategies to approximate the likelihood functions for branch length optimization and Bayesian sampling. In this...

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Bibliografiska uppgifter
I publikationen:Mol Biol Evol
Huvudupphovsmän: Claywell, Brian C, Dinh, Vu, Fourment, Mathieu, McCoy, Connor O, Matsen IV, Frederick A
Materialtyp: Artigo
Språk:Inglês
Publicerad: Oxford University Press 2018
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC5850616/
https://ncbi.nlm.nih.gov/pubmed/29029199
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/molbev/msx253
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