2017 Annual Meeting

Session: In silico Systems Biology II: Health Applications

Computational approaches are needed to unravel the complexity of biological networks and understand how they function as a system. This session will focus on recent advances in the application of in silico methods and/or the development of novel computational techniques to understand biological systems.

Chair

Saha, R., University of Nebraska-Lincoln

Co-Chairs

Brynildsen, M., Princeton University
Shoemaker, J. E., University of Pittsburgh

Presentations

12:30 PM

(362a) Causal Network Modeling of Calcium Wave Propagation in Rat Liver Lobules
Verma, A., Antony, A., Makadia, H., Hoek, J., Ogunnaike, B. A., Vadigepalli, R.

12:48 PM

(362b) Characterizing Host Immune Cell and Local Transcriptional Dynamics during Influenza Infection
Wang, M., Fukuyama, S., Kawaoka, Y., Shoemaker, J. E.

01:06 PM

(362c) A Two-State Model-Based Cell Clustering and Network Inference for Single-Cell Gene Expression Data
Gunawan, R., Papili Gao, N., Hartmann, T.

01:24 PM

(362d) Maximum Entropy Approach for Parameter Estimation in Signaling Networks
Dixit, P., Lyashenko, E., Niepel, M., Vitkup, D.

01:42 PM

(362e) Computation-Driven Mechanistic Understanding of the Cellular Cost and Regulation of Melanin Production
Saha, R., Schroeder, W., Kumar, J., Harris, S.

02:00 PM

(362f) Metabolic Modeling of Interactions Between Pseudomonas aeruginosa and Staphylococcus aureus in Cystic Fibrosis Biofilm Infections
Phalak, P., Henson, M., O'Toole, G.

02:18 PM

(362g) Hybrid Models Explain Emergent Dynamics in Complex Cell Populations
Bagheri, N.