Author

Nathan Labiosa

University of Wisconsin–MadisonORCID 0009-0003-0614-3176Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

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Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Approach:transformer / foundation model· 1

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Aryan Kohli· 1 shared Christian ChungiD· 1 shared Christopher KorbaniD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperBioengineering

Aryan Kohli

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1 paper

Recent·Most cited

BioengineeringbioRxivPreprintOct 31, 2024

Hybrid Transformer and Neural NetworkConfiguration for Protein Classification UsingAmino Acids

Nathan Labiosa, Aryan Kohli, Christian Chung, Christopher Korban

This paper introduces a hybrid machine learning model for protein classification using amino acids, achieving 95% accuracy and outperforming existing methods by 15%.

1 citation

protein sequencedeep learning

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