Parameter estimation for Boolean models of biological networks
Molecular Networks
2019-07-10 v1 Other Quantitative Biology
Quantitative Methods
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.
Keywords
Cite
@article{arxiv.0908.3037,
title = {Parameter estimation for Boolean models of biological networks},
author = {Elena Dimitrova and Luis David Garcia-Puente and Franziska Hinkelmann and Abdul S. Jarrah and Reinhard Laubenbacher and Brandilyn Stigler and Michael Stillman and Paola Vera-Licona},
journal= {arXiv preprint arXiv:0908.3037},
year = {2019}
}
Comments
Web interface of the software is available at http://polymath.vbi.vt.edu/polynome/