Predicting cellular responses to perturbation across diverse contexts with State

Abhinav Adduri, Dhruv Gautam, Beatrice Bevilacqua, Alishba Imran, Rohan Shah, Mohsen Naghipourfar, Noam Teyssier, Rajesh Ilango, Sanjay Nagaraj, Chiara Ricci-Tam, Chris Carpenter, Vishvak Subramanyam, Aidan Winters, Mingze Dong, Sravya Tirukkovalur, Jeremy Sullivan, Brian Plosky, Basak Eraslan, Nick Youngblut, Jure Leskovec et al. (7 additional authors not shown)

Published: 23 Sept 2025, Last Modified: 26 Sept 2025AI4D3 2025 SpotlightEveryoneRevisionsBibTeXCC BY 4.0
Keywords: computational biology, transcriptomics, transformers, cell state, virtual cell, perturbation prediction
TL;DR: State is a machine learning model that predicts cellular perturbation response across diverse contexts
Submission Number: 41