Parameter estimation for Boolean models of biological networks

Boolean networks have long been used as models of molecular networks and play an increasingly important role in systems biology. This paper describes a software package, offered as a web service, that helps users construct Boolean network models based on experimental data and biological input. The key feature is a discrete analog of parameter estimation for continuous models. With only experimental data as input, the software can be used as a tool for reverse-engineering of Boolean network models from experimental time course data. Key words: 2000 MSC: Primary 92-08, 92B05; Secondary 13P10

• Type: Journal
• Year: 2011
• Where: TCS
• Authors: Elena S. Dimitrova, Luis David García-Puente, Franziska Hinkelmann, Abdul Salam Jarrah, Reinhard C. Laubenbacher, Brandilyn Stigler, Michael Stillman, Paola Vera-Licona
• Keywords: Boolean Network, Boolean Network Models, Continuous Models, TCS 2011, Theoretical Computer Science