Author

U. Rosas-Puchuri

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1 Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1

Frequent Co-Authors

R. Betancur-R.· 2 shared S. Khanmohammadi· 2 shared A. Santaquiteria· 1 shared C. Solis-Lemus· 1 shared D. Arcila· 1 shared E. Duarte-Ribeiro· 1 shared G. Orti· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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2 shared papersEvolutionary Biology

R. Betancur-R.

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Author profile →

2 papers

Recent·Most cited

Non-linear phylogenetic regression using regularized kernels

U. Rosas-Puchuri, A. Santaquiteria, S. Khanmohammadi, C. Solis-Lemus, R. Betancur-R.

This paper introduces a non-linear phylogenetic regression method using regularized kernels, showing improved error reduction in both biological and simulated datasets.

bioRxiv · Oct 4, 2023 · PreprintEvolutionary Biology

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