{"_id":"zFKWL7ZhFKAmJhaax","bibbaseid":"mateescu-wolf-didier-henzinger-fastadaptiveuniformisationofthechemicalmasterequation-2010","downloads":0,"creationDate":"2017-01-02T15:13:03.904Z","title":"Fast adaptive uniformisation of the chemical master equation","author_short":["Mateescu, M.","Wolf, V.","Didier, F.","Henzinger, T."],"year":2010,"bibtype":"article","biburl":"https://bibbase.org/service/mendeley/bbb99b2d-2278-3254-820f-2de6d915ce63","bibdata":{"title":"Fast adaptive uniformisation of the chemical master equation","type":"article","year":"2010","volume":"4","id":"556e0fa0-023e-34cf-bc59-431f4dcd1335","created":"2017-01-02T09:34:04.000Z","file_attached":false,"profile_id":"bbb99b2d-2278-3254-820f-2de6d915ce63","last_modified":"2017-03-22T13:51:34.979Z","read":false,"starred":false,"authored":"true","confirmed":false,"hidden":false,"private_publication":false,"abstract":"Within systems biology there is an increasing interest in the stochastic behaviour of biochemical reaction networks. An appropriate stochastic description is provided by the chemical master equationwhich represents a continuous-time Markov chain (CTMC). The uniformisation technique is an efficient method to compute probability distributions of a CTMC if the number of states is manageable. Howeverthe size of a CTMC that represents a biochemical reaction network is usually far beyond what is feasible. In this studythe authors present an on-the-fly variant of uniformisationwhere they improve the original algorithm at the cost of a small approximation error. By means of several examplesthe authors show that their approach is particularly well-suited for biochemical reaction networks. © 2010 © The Institution of Engineering and Technology.","bibtype":"article","author":"Mateescu, M. and Wolf, V. and Didier, F. and Henzinger, T.A.","doi":"10.1049/iet-syb.2010.0005","journal":"IET Systems Biology","number":"6","bibtex":"@article{\n title = {Fast adaptive uniformisation of the chemical master equation},\n type = {article},\n year = {2010},\n volume = {4},\n id = {556e0fa0-023e-34cf-bc59-431f4dcd1335},\n created = {2017-01-02T09:34:04.000Z},\n file_attached = {false},\n profile_id = {bbb99b2d-2278-3254-820f-2de6d915ce63},\n last_modified = {2017-03-22T13:51:34.979Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {Within systems biology there is an increasing interest in the stochastic behaviour of biochemical reaction networks. An appropriate stochastic description is provided by the chemical master equationwhich represents a continuous-time Markov chain (CTMC). The uniformisation technique is an efficient method to compute probability distributions of a CTMC if the number of states is manageable. Howeverthe size of a CTMC that represents a biochemical reaction network is usually far beyond what is feasible. In this studythe authors present an on-the-fly variant of uniformisationwhere they improve the original algorithm at the cost of a small approximation error. By means of several examplesthe authors show that their approach is particularly well-suited for biochemical reaction networks. © 2010 © The Institution of Engineering and Technology.},\n bibtype = {article},\n author = {Mateescu, M. and Wolf, V. and Didier, F. and Henzinger, T.A.},\n doi = {10.1049/iet-syb.2010.0005},\n journal = {IET Systems Biology},\n number = {6}\n}","author_short":["Mateescu, M.","Wolf, V.","Didier, F.","Henzinger, T."],"biburl":"https://bibbase.org/service/mendeley/bbb99b2d-2278-3254-820f-2de6d915ce63","bibbaseid":"mateescu-wolf-didier-henzinger-fastadaptiveuniformisationofthechemicalmasterequation-2010","role":"author","urls":{},"metadata":{"authorlinks":{"wolf, v":"https://bibbase.org/service/mendeley/bbb99b2d-2278-3254-820f-2de6d915ce63"}},"downloads":0},"search_terms":["fast","adaptive","uniformisation","chemical","master","equation","mateescu","wolf","didier","henzinger"],"keywords":[],"authorIDs":["2JSHphzR9aMXfhrpg","2L4b4ZnwQuv73B5W7","37HdbBj2m3Nkh284E","3bn8RTpAhuJQompAP","4XepafWNCnyKJggJc","56c19646beb11577500000dc","5de8c8b29e80cdde010000b5","5dee1ac2584fb4df010001d4","5def72e1fe2024de010001d9","5def784c45114dde01000030","5df20057e4cb4ede01000033","5df25b0a63aac8df010000e2","5df2b2e80f18f1df01000102","5df351fbd617e5de01000051","5df8f012277e45de010000d5","5dffd508903951df01000019","5e017644219bd5df010000bb","5e077b6c23a4eadf01000094","5e110100d6a01ede01000040","5e11d3a4e49b0bdf010000fc","5e12f618b3bc8bde01000047","5e1491c308c265de01000187","5e14aba8830852de010001cf","5e15ce107c179bdf01000016","5e1c50bce556c6de010000a6","5e20396202c04cde01000179","5e27fd534d75d8de010000a9","5e2a75be881468de01000016","5e30596357a222df01000194","5e31641904dccade01000039","5e37d5e056571fde01000105","5e37f795918d4ede0100000f","5e3942579d05f2df01000152","5e3ac3a5f2a00cdf01000125","5e3ae6621b85fadf01000194","5e3b1ed1ba2e16df01000147","5e3bca62657d0bdf01000113","5e3c0a610c5519de01000014","5e3c252134cd37de0100002a","5e3d2607c405ecde0100003d","5e3d7d2b96e576de01000083","5e3ff556add5fbde010000c9","5e42aec6e7bb7ede010000e5","5e42c876e7fe39df010000f6","5e440d67fdc393de01000012","5e461412b57382df01000096","5e4b18b1c59ab1f30100003b","5e4dc099682c99de01000067","5e4e622f24a828df0100001f","5e53c7b680e18ade01000037","5e568629eb2916df01000094","5e57886ccef9b7de01000076","5e57a503041daade010000cf","5e58066aa38020de010001c5","5e5ac00856d8d3de010000d0","5e5d172e342171f301000191","5e60c309951697df0100006e","5e60d265951697df01000143","5e6116c51cc34ede010000d8","5e643e6cb8c607de01000007","5e6512579eed46de010000b6","5e677e7310be53de010000e6","5vPkRx2zGhiQffXjP","6TtMsgho6wSDppwNh","8WxA6uwjhJo6odLD7","98JaeiXdv2HxQFEKS","9S35FKTyWePaJ5x7m","9mt47gcay8t83hKie","AhcymYEWBifegY4CL","BmYrqPxj6sW5pwHNn","DDgkKH53Ksy8XfhKR","EPSnKCYzzkNDEHyq5","FL8ezxaQZZZBYuD4T","H8Xrxj7DrN4QkHPGk","HBzaP4fgmyqGwTSqT","HJewbnrXADxkwwDZc","JNyKTpnnXZ5kxzjDZ","KZcjjNnxdCZQ9sqQK","KgYS9zd9BuMBCb5PG","MKx5ZKLMLuTK4LWTw","MnoXLfFMrZ8i6nrtc","NzkfwzcppmogNWRnE","P5nK2Zx3SZ2Q8yWAG","PsXxecThBh5D7rZF4","RHSemigCgD48gsAT9","RSuv4swEX8znZYMgz","TQgxfQzDwrCThY8zw","WeN4nZyFq5wrPoKb9","XAmffxtZxqtCChE8u","Z9jGABBnTwgassRhN","aREfimpNh5nWumoEY","b4eyWwxu5YD9Njbjn","b7rjFDpbs5yJAbQMd","br99rgN3BYzevMxJp","c4SNCwY65SKJYnNjq","dFTumeodwCHErzMoP","e5cw5zgpGd7opjpJ4","eYnBGfp4dWbWcZihs","ez3SsrxfcDDtEyoMt","h6LPYjpPJ4SdurGuG","hWSu9q8ztgeKssmpF","k9dznnghpeGhCbHYL","knrm4atj2HBGQ9uqK","m5ip4qkKS79K8nLjs","mvKJv9ye44jNvfeWy","o5X9j29yJAZig9h2X","rChapC4kq8gsdFiAo","uuLPyGS8owPyR3J6M","vKi6pAJqjiYfvDYug","vW99GmyFh4asaoA3q","wNxNYy9ppNmGMGGeD","wnoSjfmoWAf2Dn9B5","zCHvrhM4d6nyN2j9k"],"dataSources":["me3WD7pwWySxCKW8s","ya2CyA73rpZseyrZ8","5u2EFGtZ3pCiduxDD","dXRJbWa2wiNDJKxYE","qA8W3BSHDuk7cCNvk","2252seNhipfTmjEBQ"]}