Author

Ulises Rosas‐Puchuri

University of OklahomaORCID 0000-0003-0529-2623Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1

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Betancur-R. Ricardo· 1 shared Claudia Solís‐LemusiD· 1 shared Nathan KolbowiD· 1 shared Sina KhanmohammadiiD· 1 shared

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2025-2025 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperEvolutionary Biology

Betancur-R. Ricardo

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1 paper

Recent·Most cited

Evolutionary BiologybioRxivPreprintNov 16, 2025

Sparse learning for scalable phylogenetic network inference

Ulises Rosas‐Puchuri, Nathan Kolbow, Claudia Solís‐Lemus…·Betancur-R. Ricardo

This paper introduces Qsin, a sparse learning method that reduces the size of concordance factors tables for phylogenetic network inference while maintaining accuracy and reducing computational time.

DOI 10.1101/2025.11.16.688704

deep learningstatistical model

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