Alexander Mitsos

This study fits the Kuznetsov model to 1472 cancer patients to predict tumor growth and shows it can extrapolate future dynamics.

The paper introduces a machine-learning workflow for analyzing promoter libraries to identify sequence design principles that predict gene expression activity.

The paper introduces updates to CellNOpt, a tool for building logic models from perturbation data and prior knowledge networks, including new methods and an interactive interface.