[{"date_created":"2018-12-11T12:02:32Z","date_published":"2011-09-21T00:00:00Z","doi":"10.1145/2037509.2037510","page":"1 - 3","day":"21","year":"2011","has_accepted_license":"1","oa":1,"quality_controlled":"1","publisher":"Springer","title":"Propagation models for computing biochemical reaction networks","author":[{"first_name":"Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","last_name":"Henzinger","orcid":"0000−0002−2985−7724","full_name":"Henzinger, Thomas A"},{"full_name":"Mateescu, Maria","last_name":"Mateescu","first_name":"Maria"}],"publist_id":"3341","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","citation":{"chicago":"Henzinger, Thomas A, and Maria Mateescu. “Propagation Models for Computing Biochemical Reaction Networks,” 1–3. Springer, 2011. https://doi.org/10.1145/2037509.2037510.","ista":"Henzinger TA, Mateescu M. 2011. Propagation models for computing biochemical reaction networks. CMSB: Computational Methods in Systems Biology, 1–3.","mla":"Henzinger, Thomas A., and Maria Mateescu. Propagation Models for Computing Biochemical Reaction Networks. Springer, 2011, pp. 1–3, doi:10.1145/2037509.2037510.","ama":"Henzinger TA, Mateescu M. Propagation models for computing biochemical reaction networks. In: Springer; 2011:1-3. doi:10.1145/2037509.2037510","apa":"Henzinger, T. A., & Mateescu, M. (2011). Propagation models for computing biochemical reaction networks (pp. 1–3). Presented at the CMSB: Computational Methods in Systems Biology, Paris, France: Springer. https://doi.org/10.1145/2037509.2037510","ieee":"T. A. Henzinger and M. Mateescu, “Propagation models for computing biochemical reaction networks,” presented at the CMSB: Computational Methods in Systems Biology, Paris, France, 2011, pp. 1–3.","short":"T.A. Henzinger, M. Mateescu, in:, Springer, 2011, pp. 1–3."},"language":[{"iso":"eng"}],"file":[{"file_name":"IST-2012-92-v1+1_Propagation_models_for_computing_biochemical_reaction_networks.pdf","date_created":"2018-12-12T10:07:50Z","creator":"system","file_size":255780,"date_updated":"2020-07-14T12:46:06Z","file_id":"4649","checksum":"7f5c65509db1a9fb049abedd9663ed06","relation":"main_file","access_level":"open_access","content_type":"application/pdf"}],"publication_status":"published","month":"09","scopus_import":1,"oa_version":"Submitted Version","abstract":[{"text":"We introduce propagation models, a formalism designed to support general and efficient data structures for the transient analysis of biochemical reaction networks. We give two use cases for propagation abstract data types: the uniformization method and numerical integration. We also sketch an implementation of a propagation abstract data type, which uses abstraction to approximate states.","lang":"eng"}],"file_date_updated":"2020-07-14T12:46:06Z","department":[{"_id":"ToHe"}],"ddc":["000","004"],"date_updated":"2021-01-12T07:42:29Z","pubrep_id":"92","status":"public","conference":{"name":"CMSB: Computational Methods in Systems Biology","start_date":"2011-09-21","end_date":"2011-09-23","location":"Paris, France"},"type":"conference","_id":"3299"}]