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

Rajib Saha, University of Nebraska-Lincoln

Co-Chairs

Mark Brynildsen, Princeton University
Jason E. Shoemaker, University of Pittsburgh

Presentations

12:30 PM

(362a) Causal Network Modeling of Calcium Wave Propagation in Rat Liver Lobules
Aalap Verma, Anil Antony, Hirenkumar Makadia, Jan Hoek, Babatunde A. Ogunnaike, Rajanikanth Vadigepalli

12:48 PM

(362b) Characterizing Host Immune Cell and Local Transcriptional Dynamics during Influenza Infection
Muying Wang, Satoshi Fukuyama, Yoshihiro Kawaoka, Jason E. Shoemaker

01:06 PM

(362c) A Two-State Model-Based Cell Clustering and Network Inference for Single-Cell Gene Expression Data
Rudiyanto Gunawan, Nan Papili Gao, Thomas Hartmann

01:24 PM

(362d) Maximum Entropy Approach for Parameter Estimation in Signaling Networks
Purushottam Dixit, Eugenia Lyashenko, Mario Niepel, Dennis Vitkup

01:42 PM

(362e) Computation-Driven Mechanistic Understanding of the Cellular Cost and Regulation of Melanin Production
Rajib Saha, Wheaton Schroeder, Jyothi Kumar, Steve Harris

02:00 PM

(362f) Metabolic Modeling of Interactions Between Pseudomonas aeruginosa and Staphylococcus aureus in Cystic Fibrosis Biofilm Infections
Poonam Phalak, Michael Henson, George O'Toole

02:18 PM

(362g) Hybrid Models Explain Emergent Dynamics in Complex Cell Populations
Neda Bagheri