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)
Qu, Hongyang
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 :
A new decomposition method for attractor detection in large synchronous Boolean networks
Publication date :
2017
Event name :
3rd International Symposium on Dependable Software Engineering: Theories, Tools, and Applications
Event date :
2017
Audience :
International
Main work title :
Proceedings of the 3rd International Symposium on Dependable Software Engineering: Theories, Tools, and Applications
Kauffman, S.: Homeostasis and differentiation in random genetic control networks. Nature 224, 177–178 (1969)
Huang, S.: Genomics, complexity and drug discovery: insights from Boolean network models of cellular regulation. Pharmacogenomics 2(3), 203–222 (2001)
Somogyi, R., Greller, L.D.: The dynamics of molecular networks: applications to therapeutic discovery. Drug Discov. Today 6(24), 1267–1277 (2001)
Garg, A., Xenarios, I., Mendoza, L., De Micheli, G.: An efficient method for dynamic analysis of gene regulatory networks and in silico gene perturbation experiments. In: Speed, T., Huang, H. (eds.) RECOMB 2007. LNCS, vol. 4453, pp. 62–76. Springer, Heidelberg (2007). doi:10.1007/978-3-540-71681-5_5
Garg, A., Di Cara, A., Xenarios, I., Mendoza, L., De Micheli, G.: Synchronous versus asynchronous modeling of gene regulatory networks. Bioinformatics 24(17), 1917–1925 (2008)
Dubrova, E., Teslenko, M.: A SAT-based algorithm for finding attractors in synchronous Boolean networks. IEEE/ACM Trans. Comput. Biol. Bioinform. 8(5), 1393–1399 (2011)
Guo, W., Yang, G., Wu, W., He, L., Sun, M.: A parallel attractor finding algorithm based on Boolean satisfiability for genetic regulatory networks. PLOS ONE 9(4), e94258 (2014)
Lomuscio, A., Qu, H., Raimondi, F.: MCMAS: An open-source model checker for the verification of multi-agent systems. Int. J. Softw. Tools Technol. Transf. (2015)
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, Cham (2015). doi:10.1007/978-3-319-24953-7_16
Mizera, A., Pang, J., Yuan, Q.: ASSA-PBN 2.0: a software tool for probabilistic Boolean networks. In: Bartocci, E., Lio, P., Paoletti, N. (eds.) CMSB 2016. LNCS, vol. 9859, pp. 309–315. Springer, Cham (2016). doi:10.1007/978-3-319-45177-0_19