MIZERA, Andrzej ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
PANG, Jun ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
YUAN, Qixia ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
no
Language :
English
Title :
Fast simulation of probabilistic Boolean networks.
Publication date :
2016
Event name :
14th International Conference on Computational Methods in Systems Biology
Event date :
2016
Audience :
International
Main work title :
Proceedings of 14th International Conference on Computational Methods in Systems Biology
Kauffman, S.A.: Homeostasis and differentiation in random genetic control networks. Nature 224, 177–178 (1969)
Mizera, A., Pang, J., Yuan, Q.: ASSA-PBN: an approximate steady-state analyser of probabilistic Boolean networks. In: Finkbeiner, B., Pu, G., Zhang, L. (eds.) ATVA 2015. LNCS, vol. 9364, pp. 214–220. Springer, Heidelberg (2015). doi:10. 1007/978-3-319-24953-716
Mizera, A., Pang, J., Yuan, Q.: Reviving the two-state Markov chain approach (Technical report) (2015). http://arxiv.org/abs/1501.01779
Raftery, A.E., Lewis, S.: How many iterations in the Gibbs sampler? Bayesian Stat. 4, 763–773 (1992)
Schlatter, R., Schmich, K., Vizcarra, I.A., Scheurich, P., Sauter, T., Borner, C., Ederer, M., Merfort, I., Sawodny, O.: ON/OFF and beyond - a Boolean model of apoptosis. PLOS Comput. Biol. 5(12), e1000595 (2009)
Shmulevich, I., Gluhovsky, I., Hashimoto, R., Dougherty, E., Zhang, W.: Steadystate analysis of genetic regulatory networks modelled by probabilistic Boolean networks. Comp. Funct. Genomics 4(6), 601–608 (2003)
Shmulevich, I., Dougherty, E.R.: Probabilistic Boolean Networks: The Modeling and Control of Gene Regulatory Networks. SIAM Press, New York (2010)
Shmulevich, I., Dougherty, E.R., Kim, S., Zhang, W.: Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks. Bioinformatics 18(2), 261–274 (2002)
Shmulevich, I., Dougherty, E.R., Zhang, W.: Control of stationary behavior in probabilistic Boolean networks by means of structural intervention. J. Biol. Syst. 10(04), 431–445 (2002)
Shmulevich, I., Dougherty, E.R., Zhang, W.: From Boolean to probabilistic Boolean networks as models of genetic regulatory networks. Proc. IEEE 90(11), 1778–1792 (2002)
Shmulevich, I., Dougherty, E.R., Zhang, W.: Gene perturbation and intervention in probabilistic Boolean networks. Bioinformatics 18(10), 1319–1331 (2002)
Trairatphisan, P., Mizera, A., Pang, J., Tantar, A.A., Sauter, T.: optPBN: an optimisation toolbox for probabilistic Boolean networks. PLOS ONE 9(7), e98001 (2014)
Trairatphisan, P., Mizera, A., Pang, J., Tantar, A.A., Schneider, J., Sauter, T.: Recent development and biomedical applications of probabilistic Boolean networks. Cell Commun. Signal. 11, 46 (2013)
Walker, A.: An efficient method for generating discrete random variables with general distributions. ACM Trans. Math. Soft. 3(3), 253–256 (1977)
