Parameter estimation for Boolean models of biological networks
arXiv:0908.3037 · doi:10.1016/j.tcs.2010.04.034
Abstract
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, 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.
Web interface of the software is available at http://polymath.vbi.vt.edu/polynome/
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