Understanding disease progression dynamics is critical for diagnostics and treatment, but capturing dynamics is difficult. Here, the authors present a method for modelling disease progression from high dimensional molecular data that enables patient stratification and high-risk disease state identification, showcased in bladder cancer.
- Amit Frishberg
- Neta Milman
- Shai S. Shen-Orr
