Author

Jack Carson Taylor

University of California, San FranciscoORCID 0000-0002-6431-9956Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:drug response / drug discovery· 2 Organism:zebrafish· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Assay:proteomics· 1

Frequent Co-Authors

David KokeliD· 2 shared Douglas Myers-TurnbulliD· 2 shared Leo GendeleviD· 2 shared Matthew N. McCarrolliD· 2 shared Michael J. KeiseriD· 2 shared Chris S KiiD· 1 shared Cole V. M. HelselliD· 1 shared Michelle R. ArkiniD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 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

2 shared papersBioinformatics

David KokelORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Deep phenotypic profiling of neuroactive drugs in larval zebrafish

Leo Gendelev, Jack Carson Taylor, Douglas Myers-Turnbull, Steven Chen, Matthew N. McCarroll, Michelle R. Arkin, David Kokel, Michael J. Keiser

The paper trains a deep metric learning model on zebrafish behavioral profiles to identify neuroactive compounds, achieving better performance than correlation distance and validating predictions with in vitro assays.

Nature Communications · Nov 17, 2024Peer-reviewedBioinformatics

Simultaneous classification of neuroactive compounds in zebrafish

Douglas Myers-Turnbull, Jack Carson Taylor, Cole V. M. Helsell, Matthew N. McCarroll, Chris S Ki, Tia A. Tummino, Shreya Ravikumar, Reid Kinser, Leo Gendelev, Rebekah Alexander, Michael J. Keiser, David Kokel

This paper introduces an open platform for classifying neuroactive compounds in zebrafish using phenotypic responses and provides a large dataset of drug effects.

bioRxiv · Jan 1, 2020 · PreprintSystems Biology