Tabular foundation model predicts alternative lengthening of telomeres (ALT) and identifies SMARCAL1 as a target in ALT-driven cancers
Declan Bennett, Monika Wierdl, S Chakraborty, Jordan Johnson, Victoria Akingbehin, Daniel Estevez-Prado, Yuan Feng, Janeala J. Morsby, John Harper, Mohammad Ali Mohammad Nezhady, M Pan, Nicole Ocasio-Martinez, Jerrel Lewis Catlett, TB Nations, Neekesh V. Dharia, , Lillian M. Guenther
The paper develops ALTitude, a machine learning model to predict ALT status from whole genome sequencing data, identifies SMARCAL1 as a therapeutic target in ALT-driven cancers.
bioRxiv · May 28, 2026 · PreprintCancer Biology