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A machine-learning-based alternative to phylogenetic bootstrap
Noa Ecker
,
Dorothée Huchon
,
Yishay Mansour
,
Itay Mayrose
,
Tal Pupko
*
*
Corresponding author for this work
The Shmunis School of Biomedicine and Cancer Research
School of Zoology
School of Computer Science and AI
School of Plant Sciences and Food Security
Research output
:
Contribution to journal
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Article
›
peer-review
4
Scopus citations
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Keyphrases
Bootstrap
100%
Machine Learning Based
100%
Branch Support
100%
Phylogenetic Analysis
40%
Multiple Sequence Alignment
20%
Phylogeny
20%
Machine Learning Algorithms
20%
Data-driven Approach
20%
Phylogenetic Tree
20%
Phylogenetic Inference
20%
Probability-based
20%
Parametric Test
20%
Maximum Likelihood Tree
20%
Probabilistic Interpretation
20%
Support Rate
20%
Bipartition
20%
Empirical Datasets
20%
Accurate Probability
20%
Agricultural and Biological Sciences
Branches
100%
Cladistics
60%
Sequence Alignment
20%
Biochemistry, Genetics and Molecular Biology
Cladistics
100%
Phylogenetic Tree
33%
Sequence Alignment
33%
Neuroscience
Machine Learning Algorithm
100%