Author

Seth A Frazer

University of California, Santa BarbaraORCID 0000-0002-3800-212XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Approach:machine learning (classical)· 2 Assay:protein sequence· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Todd H. OakleyiD· 2 shared Ali RahnavardiD· 1 shared Keith A. CrandalliD· 1 shared Mahdi BaghbanzadehiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Todd H. OakleyORCID

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2 papers

Recent·Most cited

BioinformaticsMolecular Biology and EvolutionPeer-reviewedJun 1, 2026

Accessible and Robust Machine Learning Approaches to Improve the Opsin Genotype-Phenotype Map

Seth A Frazer, Todd H. Oakley

The paper develops ML tools to improve genotype-phenotype prediction for opsin genes by introducing new methods and software.

4 citationstop 5%

protein sequencemachine learning (classical)

𝕏 PostBluesky

BioinformaticsGigaSciencePeer-reviewedJan 1, 2024

Discovering genotype-phenotype relationships with machine learning and the Visual Physiology Opsin Database (VPOD)

Seth A Frazer, Mahdi Baghbanzadeh, Ali Rahnavard…·Todd H. Oakley

The paper introduces a database of opsin genotypes and λmax phenotypes and demonstrates regression-based ML models can predict λmax and identify functionally critical sites.

13 citations

protein sequencemachine learning (classical)

𝕏 PostBluesky