Author

Garvesh Raskutti

University of Wisconsin–MadisonORCID 0000-0002-0522-5423Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

Frequent Co-Authors

Bennett J. Bremer· 1 shared Emily C. Hinds· 1 shared Hyebin SongiD· 1 shared Philip A. RomeroiD· 1 shared

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2020-2020 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Bennett J. Bremer

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1 paper

Recent·Most cited

BioinformaticsCell SystemsPeer-reviewedNov 18, 2020

Inferring protein sequence-function relationships with large-scale positive-unlabeled learning

Hyebin Song, Bennett J. Bremer, Emily C. Hinds…·Philip A. Romero

This paper develops a positive-unlabeled learning framework to infer sequence-function relationships from DMS data and applies it to design stabilized enzymes.

47 citations

proteomicsstatistical model

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