8 citations · 22 across the 13 of their papers we have counts for
5 papers · 1 filter
Unsupervised Learning of Phylogenetic Trees via Split-Weight Embedding
Yibo Kong, George P. Tiley, Claudia Solis-Lemus
Unsupervised learning has become a staple in classical machine learning, successfully identifying clustering patterns in data across a broad range of domain applications. Surprisin…
Ultrafast learning of 4-node hybridization cycles in phylogenetic networks using algebraic invariants
Zhaoxing Wu, Claudia Solis-Lemus
Motivation: The abundance of gene flow in the Tree of Life challenges the notion that evolution can be represented with a fully bifurcating process, as this process cannot capture…
Detectability of Varied Hybridization Scenarios using Genome-Scale Hybrid Detection Methods
Marianne Bjorner, Erin K. Molloy, Colin N. Dewey +1
Hybridization events complicate the accurate reconstruction of phylogenies, as they lead to patterns of genetic heritability that are unexpected under traditional, bifurcating mode…
Novel Symmetry-preserving Neural Network Model for Phylogenetic Inference
Xudong Tang, Leonardo Zepeda-Nunez, Shengwen Yang +2
Scientists world-wide are putting together massive efforts to understand how the biodiversity that we see on Earth evolved from single-cell organisms at the origin of life and this…
On the Identifiability of Phylogenetic Networks under a Pseudolikelihood model
Claudia Solis-Lemus, Arrigo Coen, Cecile Ane
The Tree of Life is the graphical structure that represents the evolutionary process from single-cell organisms at the origin of life to the vast biodiversity we see today. Reconst…