Author

C. Solis-Lemus

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· 5 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 5 Research Focus:phylogenetics / evolution· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:database / resource· 1

Frequent Co-Authors

G. P. Tiley· 2 shared A. A. Crowl· 1 shared A. D. Yoder· 1 shared A. Santaquiteria· 1 shared C. Ane· 1 shared D. Pimentel-Alarcon· 1 shared E. B. Sessa· 1 shared E. Molotkova· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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2 shared papersEvolutionary Biology

G. P. Tiley

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Author profile →

6 papers

Recent·Most cited

Extracting diamonds: Identifiability of 4-node cycles in level-1 phylogenetic networks under a pseudolikelihood coalescent model

G. P. Tiley, N. Liu, C. Solis-Lemus

The paper investigates the identifiability of hybrid nodes in 4-node cycles of phylogenetic networks using a pseudolikelihood coalescent model and provides sampling strategies to improve detection.

bioRxiv · Oct 25, 2023 · PreprintEvolutionary Biology

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

SiPhyNetwork: An R package for Simulating Phylogenetic Networks

J. Justison, C. Solis-Lemus, T. A. Heath

SiPhyNetwork simulates phylogenetic networks under a birth-death-hybridization process, allowing modeling of gene flow mechanisms like hybridization and lateral gene transfer.

bioRxiv · Oct 26, 2022Evolutionary Biology

Machine learning identification of Pseudomonas aeruginosa strains from colony image data

J. B. Rattray, R. J. Lowhorn, R. Walden, P. Marquez Zacarias, E. Molotkova, G. Perron, C. Solis-Lemus, D. Pimentel-Alarcon, S. P. Brown

This paper uses deep learning to classify Pseudomonas aeruginosa strains based on colony morphology, achieving high accuracy despite limited data.

bioRxiv · Sep 2, 2022 · PreprintMicrobiology

Benefits and Limits of Phasing Alleles for Network Inference of Allopolyploid Complexes

G. P. Tiley, A. A. Crowl, P. S. Manos, E. B. Sessa, C. Solis-Lemus, A. D. Yoder, J. G. Burleigh

This paper shows that phasing alleles from allopolyploids improves phylogenetic network inference but faces challenges due to statistical non-identifiability.

bioRxiv · May 4, 2021Evolutionary Biology

Phylogenetic Comparative Methods on Phylogenetic Networks with Reticulations

P. Bastide, C. Solis-Lemus, R. Kriebel, K. W. Sparks, C. Ane

This paper extends Phylogenetic Comparative Methods to phylogenetic networks with reticulations, developing algorithms and statistical tests for trait evolution and transgressive evolution in Xiphophorus fishes.

bioRxiv · Apr 20, 2018Evolutionary Biology