Author

Tal Fisher

Weizmann Institute of SciencePrimary ORCID profile (0009-0001-8624-4000 · 3 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Tal FisheriD3 papers · Hebrew University of Jerusalem

Biology Disciplines

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Aharon NachshoniD· 1 shared Alyssa N. CoyneiD· 1 shared Aviad Siani· 1 shared Bar Abarbanel· 1 shared Chen Bar· 1 shared Cory A. WelleriD· 1 shared Eran HornsteiniD· 1 shared Fergal M. WaldroniD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSystems Biology

Aharon NachshonORCID

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Author profile →

1 paper

Recent·Most cited

Organellomics: AI-driven deep organellar phenotyping reveals novel ALS mechanisms in human neurons

Sagy Krispin, Welmoed van Zuiden, Yehuda Matan Danino, Noam Rudberg, Lena Molitor, Bar Abarbanel, Gal Aviram, Gili Wolf, Chen Bar, Aviad Siani, Thea Deborah Meimoun, Alyssa N. Coyne, Marianita Santiana, Cory A. Weller, Mark Cookson, , Eran Hornstein

The paper introduces NOVA, a deep learning model for analyzing organelle structures in neurons, revealing novel ALS mechanisms through phenotypic changes in TDP-43 and P-bodies.

bioRxiv · Jan 31, 2024 · PreprintSystems Biology