Data Analysis

Cell-death process, which occurs ubiquitously under normal and healthy conditions, is disturbed in diseased tissues. Cell-death process can be viewed as an outcome of a network of reactions. How does the network dynamically orchestrate the overall cell-death outcome? Can the network be re-wired to reverse the disturbances in the cell-death process? The goal of this project is to understand the cell-death process by developing a kinetic model of the network of reactions and validating with experimental data.

Control of integrated networks is challenging due to strong interactions between variables (limiting performance of decentralized controllers) and large system size (difficult design of a centralized controller). In this context, distributed controllers pose an optimal architecture with reduced system size and inclusion of key interactions. A key question is how to decompose an integrated system into distributed architecture. We address this problem via structural analysis. Specifically, we abstract the control system into an equivalent graph.