Author

Layne C. Price

ORCID 0000-0002-2566-9080Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1

Frequent Co-Authors

Franziska SeegeriD· 1 shared Hongyu SheniD· 1 shared Mohammad Taha Bahadori· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Franziska SeegerORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 18, 2021

Improving Generalizability of Protein Sequence Models with Data Augmentations

Hongyu Shen, Layne C. Price, Mohammad Taha Bahadori, Franziska Seeger

The paper improves protein sequence model generalizability by applying data augmentations and contrastive learning, showing performance gains across multiple tasks.

15 citations

protein sequencecontrastive learning

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