Author

L. N. Barrow

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· 3 Ecology· 2

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 3 Approach:statistical model· 3 Research Focus:ecology & biodiversity· 2 Approach:machine learning (classical)· 2 Organism:multiple species· 2 Research Focus:cell type annotation· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

C. C. Witt· 3 shared S. C. Galen· 3 shared J. L. Williamson· 2 shared M. J. Baumann· 2 shared A. B. Johnson· 1 shared A. N. Chavez· 1 shared A. S. Winter· 1 shared B. C. Carstens· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersEcology

C. C. Witt

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Author profile →

5 papers

Recent·Most cited

Machine learning and phylogenetic models identify predictors of genetic variation in Neotropical amphibians

L. Amador, I. Arroyo-Torres, L. N. Barrow

The paper uses machine learning and phylogenetic models to identify predictors of genetic variation in Neotropical amphibians, finding range size and precipitation as key factors.

bioRxiv · Jun 15, 2023Evolutionary Biology

Detecting turnover among complex communities using null models: A case study with sky-island haemosporidian parasites

L. N. Barrow, S. M. Bauernfeind, P. A. Cruz, J. L. Williamson, D. L. Wiley, J. E. Ford, M. J. Baumann, S. S. Brady, A. N. Chavez, C. R. Gadek, S. C. Galen, A. B. Johnson, X. M. Mapel, R. A. Marroquin-Flores, T. E. Martinez, , C. C. Witt

The paper develops null models to detect turnover in avian haemosporidian parasite communities across sky islands, finding significant differences among adjacent mountain ranges.

Oecologia · Jan 23, 2021Peer-reviewedEcology

Predicting amphibian intraspecific diversity with machine learning: Challenges and prospects for integrating traits, geography, and genetic data

L. N. Barrow, E. Masiero da Fonseca, C. E. P. Thompson, B. C. Carstens

The paper uses machine learning to predict intraspecific genetic diversity in amphibians by integrating traits, geography, and genetic data, finding significant phylogenetic signal and lower diversity in northern salamanders.

bioRxiv · May 3, 2020Evolutionary Biology

Deeply conserved susceptibility in a multi-host, multi-parasite system

L. N. Barrow, S. M. McNew, N. Mitchell, S. C. Galen, H. L. Lutz, H. Skeen, T. Valqui, J. D. Weckstein, C. C. Witt

The paper investigates susceptibility to haemosporidian parasites across bird species, finding that host phylogeny significantly influences infection rates.

bioRxiv · Sep 26, 2018Evolutionary Biology

Ecology, Not Distance, Explains Community Composition in Parasites of Sky-Island Audubon’s Warblers

J. L. Williamson, C. J. Wolf, L. N. Barrow, M. J. Baumann, S. C. Galen, C. J. Schmitt, D. C. Schmitt, A. S. Winter, C. C. Witt

This study shows that parasite community composition in Audubon’s Warblers is better explained by ecological factors and bird community composition than by geographic distance.

bioRxiv · Jun 14, 2018Ecology