Author

G. Thurber

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

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Bioengineering· 1

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Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1

Frequent Co-Authors

J. Vinh· 1 shared M. Case· 1 shared M. Smith· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioengineering

J. Vinh

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1 paper

Recent·Most cited

Machine Learning to Predict Continuous Protein Properties from Simple Binary Sorting and Deep Sequencing Data

M. Case, M. Smith, J. Vinh, G. Thurber

This paper develops a machine learning framework to predict continuous protein properties from deep sequencing data in directed evolution experiments, demonstrating its effectiveness across multiple protein engineering tasks.

bioRxiv · Jun 9, 2023 · PreprintBioengineering