Author

Jonathan Moran Sierra

Washington University in St. Louis

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Albert M. LaiiD· 1 shared Inez Y. OhiD· 1 shared Jonathan E. TangiD· 1 shared Kriti BhattaraiiD· 1 shared Philip PayneiD· 1 shared Zachary B. AbramsiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Albert M. LaiORCID

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1 paper

Recent·Most cited

Leveraging GPT-4 for Identifying Cancer Phenotypes in Electronic Health Records: A Performance Comparison between GPT-4, GPT-3.5-turbo, Flan-T5 and spaCy's Rule-based & Machine Learning-based methods

Kriti Bhattarai, Inez Y. Oh, Jonathan Moran Sierra, Jonathan E. Tang, Philip Payne, Zachary B. Abrams, Albert M. Lai

This paper compares GPT-4, GPT-3.5-turbo, Flan-T5, and spaCy-based methods for identifying cancer phenotypes from EHRs, finding GPT-4 achieves higher precision, recall, and F1 scores.

bioRxiv · Sep 27, 2023 · PreprintBioinformatics