Michael A. Kochen

The paper investigates how biochemical reaction networks perform signal integration and integral feedback control, finding that these capabilities overlap but are not always mutually exclusive.

This paper analyzes the frequency response and sensitivity of biochemical cascades with varying phosphorylation layers and states.

The paper uses Bayesian multimodel inference to analyze tumor growth mechanisms in SCLC, finding that high lineage plasticity, not rare stem-like populations, drives tumor evolution.

The paper demonstrates that probabilistic methods can explore biochemical network execution mechanisms with limited data by analyzing apoptosis signal processing modes.