Predicting locus phylogenetic utility using machine learning
A. Knyshov, A. G. Walling, C. Guccione, R. Schwartz
This study uses machine learning to predict locus phylogenetic utility, improving topological accuracy and statistical support by filtering out noisy loci from phylogenomic datasets.
bioRxiv · May 6, 2024 · PreprintEvolutionary Biology