Deep Neighbor Information Learning From Evolution Trees for Phylogenetic Likelihood Estimates

Deep Neighbor Information Learning From Evolution Trees for Phylogenetic Likelihood Estimates

Likelihood probability based phylogenetic analysis approaches have contributed to impressive advances in minimizing the variance of estimating the evolutionary parameters. However, their actual applications are greatly limited due to the very time-consuming calculations of Conditional Likelihood Pro...

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Bibliographic Details
Main Authors: Cheng Ling, Wenhao Cheng, Haoyu Zhang, Hanhao Zhu, Hua Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Likelihood probability
phylogenetic analysis
machine learning
prediction model
likelihood prediction
evolution trees
Online Access:https://ieeexplore.ieee.org/document/9285277/

Internet

https://ieeexplore.ieee.org/document/9285277/

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