Organellomics: AI-driven deep organellar phenotyping reveals novel ALS mechanisms in human neurons (Source Code)

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: 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
+11 more Marianita Santiana, Cory A. Weller, Mark Cookson, Michael Ward, Fergal M. Waldron, Jenna M. Gregory, Tal Fisher, Aharon Nachshon, Noam Stern-Ginossar, N. Yacovzada, Eran Hornstein
DOI: 10.5281/zenodo.18152732
Cited by: 0

Abstract

The official repository for NOVA, a deep learning framework designed for high-throughput organellar phenotyping of perturbed human neurons using AI-driven methodologies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 January 2026