Dissecting Factors Underlying Phylogenetic Uncertainty Using Machine Learning Models
U. Rosas-Puchuri, E. Duarte-Ribeiro, S. Khanmohammadi, D. Arcila, G. Orti, R. Betancur-R.
This study uses machine learning to analyze phylogenetic datasets, finding that non-linear models outperform linear ones in capturing complex relationships affecting phylogenomic inference.
bioRxiv · Sep 20, 2023 · PreprintEvolutionary Biology