Author

Yonatan Bisk

University of WashingtonORCID 0000-0002-2111-9081Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

James HempiD· 1 shared Ranjani MuraliiD· 1 shared Victoria J. OrphaniD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

James HempORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMar 30, 2019

FIND: Identifying Functionally and Structurally Important Features in Protein Sequences with Deep Neural Networks

Ranjani Murali, James Hemp, Victoria J. Orphan, Yonatan Bisk

The paper introduces a deep learning model called FIND to predict protein function from amino acid sequences, revealing structurally and functionally relevant features in proteins.

3 citations

protein sequencedeep learning