Although remarkable advances have been reported in high-throughput sequencing, the
ability to aptly analyze a substantial amount of rapidly generated biological …

A phylogenetic tree can reflect the evolutionary relationships between species or gene
families, and they play a critical role in modern biological research. In this review, we …

Phylogenetic inference, grounded in molecular evolution models, is essential for
understanding the evolutionary relationships in biological data. Accounting for the …

Motivation Currently used methods for estimating branch support in phylogenetic analyses
often rely on the classic Felsenstein's bootstrap, parametric tests, or their approximations. As …

Simple Summary We show how the conventional (Euclidean) deep learning methods
developed for phylogenetics can benefit from using hyperbolic geometry. The results point to …

During the last few years, the field of dynamical systems has been develo** innovative
tools to study the asymptotic behavior of different optimizers in the context of neural …

Phylogenetics is now fundamental in life sciences, providing insights into the earliest
branches of life and the origins and spread of epidemics. However, finding suitable …

Bayesian inference for phylogenetics is a gold standard for computing distributions of
phylogenies. However, Bayesian phylogenetics faces the challenging computational …

Congruent Procrustes analysis aims to find the best matching between two point sets
through rotation, reflection and translation. We formulate the Procrustes problem for …

In this article, we study the distance matrix as a representation of a phylogeny by way of
hierarchical clustering. By defining a multivariate normal distribution on (a subset of) the …