ULHPC - University of Luxembourg: High Performance Computing
Disciplines :
Computer science
Author, co-author :
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 :
yes
Language :
English
Title :
ASSA-PBN: An approximate steady-state analyser for probabilistic Boolean networks
Publication date :
2015
Event name :
13th International Symposium on Automated Technology for Verification and Analysis
Event date :
2015
Audience :
International
Main work title :
Proceedings of the 13th International Symposium on Automated Technology for Verification and Analysis (ATVA'15)
Publisher :
Springer
Collection name :
Lecture Notes in Computer Science 9364
Pages :
214-220
Peer reviewed :
Peer reviewed
FnR Project :
FNR7814267 - New Approaches To Parameter Estimation Of Gene Regulatory Networks, 2014 (01/03/2014-14/01/2018) - Qixia Yuan
Shmulevich, I., Dougherty, E., Zhang, W.: From boolean to probabilistic boolean networks as models of genetic regulatory networks. Proc. IEEE 90(11), 1778-1792 (2002)
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)
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)
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)
Vincent, J.M., Marchand, C.: On the exact simulation of functionals of stationary Markov chains. Linear Algebra Appl. 385, 285-310 (2004)
Raftery, A., Lewis, S.: How many iterations in the Gibbs sampler? Bayesian Stat. 4, 763-773 (1992)
Mizera, A., Pang, J., Yuan, Q.: Reviving the two-state markov chain approach (technical report) (2015). Accessed on http://arxiv.org/abs/1501.01779
Tafazzoli, A., Wilson, J., Lada, E., Steiger, N.: Skart: A skewness-and autoregression-adjusted batch-means procedure for simulation analysis. In: Proceedings of the 2008 Winter Simulation Conference, pp. 387-395 (2008)
Walker, A.: An efficient method for generating discrete random variables with general distributions. ACM Trans. Math. Softw. 3(3), 253-256 (1977)
Shmulevich, I., Dougherty, E.R.: Probabilistic Boolean Networks: The Modeling and Control of Gene Regulatory Networks. SIAM Press, Philadelphia (2010)
Kwiatkowska, M., Norman, G., Parker, D.: PRISM 4.0: verification of probabilistic real-time systems. In: Gopalakrishnan, G., Qadeer, S. (eds.) CAV 2011. LNCS, vol. 6806, pp. 585-591. Springer, Heidelberg (2011)
Propp, J.G., Wilson, D.: Exact sampling with coupled markov chains and applications to statistical mechanics. Random Struct. Algorithms 9(1), 223-252 (1996)
El Rabih, D., Pekergin, N.: Statistical model checking using perfect simulation. In: Liu, Z., Ravn, A.P. (eds.) ATVA 2009. LNCS, vol. 5799, pp. 120-134. Springer, Heidelberg (2009)
Younes, H.L.S., Simmons, R.G.: Probabilistic verification of discrete event systems using acceptance sampling. In: Brinksma, E., Larsen, K.G. (eds.) CAV 2002. LNCS, vol. 2404, pp. 223-235. Springer, Heidelberg (2002)
Sen, K., Viswanathan, M., Agha, G.: On statistical model checking of stochastic systems. In: Etessami, K., Rajamani, S.K. (eds.) CAV 2005. LNCS, vol. 3576, pp. 266-280. Springer, Heidelberg (2005)
Rohr, C.: Simulative model checking of steady state and time-unbounded temporal operators. Trans. Petri Nets Models Concurrency 8, 142-158 (2013)
Gelman, A., Rubin, D.: Inference from iterative simulation using multiple sequences. Stat. Sci. 7(4), 457-472 (1992)
