Parameter estimation for Boolean models of biological networks. Boolean networks have long been used as models of molecular networks, and they play an increasingly important role in systems biology. This paper describes a software package, Polynome, 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.
Keywords for this software
References in zbMATH (referenced in 5 articles , 1 standard article )
Showing results 1 to 5 of 5.
- Dimitrova, Elena; Stigler, Brandilyn: Data identification for improving gene network inference using computational algebra (2014)
- Laubenbacher, Reinhard; Hinkelmann, Franziska; Murrugarra, David; Veliz-Cuba, Alan: Algebraic models and their use in systems biology (2014)
- Millérioux, Gilles; Daafouz, Jamal: On persistent excitations for the identification of switched linear dynamical systems over finite fields (2014)
- Dimitrova, Elena; García-Puente, Luis David; Hinkelmann, Franziska; Jarrah, Abdul S.; Laubenbacher, Reinhard; Stigler, Brandilyn; Stillman, Michael; Vera-Licona, Paola: Parameter estimation for Boolean models of biological networks (2011)
- Dimitrova, Elena S.: Estimating the volumes of the cones in a Gröbner fan (2010)