Identifying cancer cell-state transitions from multimodal single-cell data
Guido Baselli, Alisa Alekseenko, Judit Liaño-Pons, Lefteris Sinanis, Eltjona Rrapaj, Marie Arsenian‐Henriksson, Vicent Pelechano
This study identifies cancer cell-state transitions using multimodal single-cell data by analyzing discordant mRNA and protein levels, revealing molecular drivers and prognostic signatures across multiple cancer types.
bioRxiv · Jul 8, 2026 · PreprintCancer Biology