{"conference":{"start_date":"2010-09-29","location":"Trento, Italy","name":"CMSB: Computational Methods in Systems Biology","end_date":"2010-10-01"},"pubrep_id":"68","citation":{"apa":"Henzinger, T. A., Mateescu, M., Mikeev, L., &#38; Wolf, V. (2010). Hybrid numerical solution of the chemical master equation (pp. 55–65). Presented at the CMSB: Computational Methods in Systems Biology, Trento, Italy: Springer. <a href=\"https://doi.org/10.1145/1839764.1839772\">https://doi.org/10.1145/1839764.1839772</a>","ieee":"T. A. Henzinger, M. Mateescu, L. Mikeev, and V. Wolf, “Hybrid numerical solution of the chemical master equation,” presented at the CMSB: Computational Methods in Systems Biology, Trento, Italy, 2010, pp. 55–65.","ama":"Henzinger TA, Mateescu M, Mikeev L, Wolf V. Hybrid numerical solution of the chemical master equation. In: Springer; 2010:55-65. doi:<a href=\"https://doi.org/10.1145/1839764.1839772\">10.1145/1839764.1839772</a>","short":"T.A. Henzinger, M. Mateescu, L. Mikeev, V. Wolf, in:, Springer, 2010, pp. 55–65.","ista":"Henzinger TA, Mateescu M, Mikeev L, Wolf V. 2010. Hybrid numerical solution of the chemical master equation. CMSB: Computational Methods in Systems Biology, 55–65.","chicago":"Henzinger, Thomas A, Maria Mateescu, Linar Mikeev, and Verena Wolf. “Hybrid Numerical Solution of the Chemical Master Equation,” 55–65. Springer, 2010. <a href=\"https://doi.org/10.1145/1839764.1839772\">https://doi.org/10.1145/1839764.1839772</a>.","mla":"Henzinger, Thomas A., et al. <i>Hybrid Numerical Solution of the Chemical Master Equation</i>. Springer, 2010, pp. 55–65, doi:<a href=\"https://doi.org/10.1145/1839764.1839772\">10.1145/1839764.1839772</a>."},"doi":"10.1145/1839764.1839772","type":"conference","title":"Hybrid numerical solution of the chemical master equation","date_updated":"2021-01-12T07:52:33Z","publist_id":"2356","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","oa":1,"quality_controlled":"1","abstract":[{"text":"We present a numerical approximation technique for the analysis of continuous-time Markov chains that describe net- works of biochemical reactions and play an important role in the stochastic modeling of biological systems. Our approach is based on the construction of a stochastic hybrid model in which certain discrete random variables of the original Markov chain are approximated by continuous deterministic variables. We compute the solution of the stochastic hybrid model using a numerical algorithm that discretizes time and in each step performs a mutual update of the transient prob- ability distribution of the discrete stochastic variables and the values of the continuous deterministic variables. We im- plemented the algorithm and we demonstrate its usefulness and efficiency on several case studies from systems biology.","lang":"eng"}],"department":[{"_id":"ToHe"}],"file_date_updated":"2020-07-14T12:46:16Z","year":"2010","page":"55 - 65","language":[{"iso":"eng"}],"status":"public","day":"29","_id":"3838","scopus_import":1,"date_created":"2018-12-11T12:05:27Z","ddc":["004"],"month":"09","publication_status":"published","date_published":"2010-09-29T00:00:00Z","has_accepted_license":"1","publisher":"Springer","file":[{"date_updated":"2020-07-14T12:46:16Z","relation":"main_file","file_name":"IST-2012-68-v1+1_Hybrid_Numerical_Solution_of_the_Chemical_Master_Equation.pdf","file_id":"5179","file_size":671790,"content_type":"application/pdf","date_created":"2018-12-12T10:15:55Z","checksum":"81cb6f0babd97151b171d1ce86582831","creator":"system","access_level":"open_access"}],"author":[{"last_name":"Henzinger","full_name":"Henzinger, Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","orcid":"0000−0002−2985−7724","first_name":"Thomas A"},{"last_name":"Mateescu","full_name":"Mateescu, Maria","first_name":"Maria"},{"full_name":"Mikeev, Linar","first_name":"Linar","last_name":"Mikeev"},{"last_name":"Wolf","full_name":"Wolf, Verena","first_name":"Verena"}],"oa_version":"Submitted Version"}