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Anastasis Togkousidis on Muck Rack

Anastasis Togkousidis

As seen in: BioRxiv
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Articles

Much Ado About Nothing: Accelerating Maximum Likelihood Phylogenetic Inference via Early Stopping to evade (Over-)optimization

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By Anastasis Togkousidis, Alexandros Stamatakis, Olivier Gascuel, HITS gGmbH
| BioRxiv
Abstract Maximum Likelihood (ML) based phylogenetic inference constitutes a challenging optimization problem. Given a set of aligned input sequences, phylogenetic inference tools strive to determine the tree topology, the branch-lengths, and the evolutionary parameters that maximize the phylogenetic likelihood function. However, there exist compelling reasons to not push optimization to its limits, by means of early, yet adequate stopping criteria.
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Adaptive RAxML-NG: Accelerating Phylogenetic inference under Maximum Likelihood using dataset difficulty

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By Alexey Kozlov, Julia Haag, Dimitri Höhler, Anastasis Togkousidis
| BioRxiv
New Results doi: https://doi.org/10.1101/2023.05.15.540873 Abstract Motivation: Phylogenetic inferences under the Maximum-Likelihood (ML) criterion deploy heuristic tree search strategies to explore the vast search space. Depending on the input dataset, searches from different starting trees might all converge to a single tree topology.
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