LEADER 01094nam 2200301Ia 450 001 996392427103316 005 20221108031022.0 035 $a(CKB)1000000000669728 035 $a(EEBO)2240857990 035 $a(OCoLC)13241832 035 $a(EXLCZ)991000000000669728 100 $a19860305d1693 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 12$aA specimen of the several sorts of letter given to the university by Dr. John Fell late Lord Bishop of Oxford$b[electronic resource] $eto which is added the letter given by Mr. F. Junius 210 $aOxford $cPrinted at the Theater ...$d1693 215 $a[19] leaves 300 $aReproduction of original in the Cambridge University Library. 330 $aeebo-0021 606 $aPrinting$zEngland$vSpecimens 615 0$aPrinting 701 $aFell$b John$f1625-1686.$01001113 801 1$bEAG 801 2$bWaOLN 906 $aBOOK 912 $a996392427103316 996 $aA specimen of the several sorts of letter given to the university by Dr. John Fell late Lord Bishop of Oxford$92367363 997 $aUNISA LEADER 03552nam 22007215 450 001 9910502664103321 005 20251107172921.0 010 $a981-16-5351-8 024 7 $a10.1007/978-981-16-5351-3 035 $a(CKB)4100000012025947 035 $a(MiAaPQ)EBC6725067 035 $a(Au-PeEL)EBL6725067 035 $a(OCoLC)1268205818 035 $a(PPN)258058536 035 $a(DE-He213)978-981-16-5351-3 035 $a(EXLCZ)994100000012025947 100 $a20210911d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aChemical Master Equation for Large Biological Networks $eState-space Expansion Methods Using AI /$fby Don Kulasiri, Rahul Kosarwal 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (231 pages) 225 1 $aPhysics and Astronomy Series 311 08$a981-16-5350-X 327 $a1. Introduction -- 2. A Review and Challenges in Chemical Master Equation -- 3. Visualizing Markov Process through Graphs and Trees -- 4. Intelligent State Projection -- 5. Comparative Study And Analysis of Methods and Models -- 6. A Large Model Case Study: Solving CME for G1/S Checkpoint Involving the DNA-damage Signal Transduction Pathway -- 7. An Integrated Large Model Case Study: Solving CME for Oxidative Stress Adaptation in the Fungal Pathogen Candida Albicans. 330 $aThis book highlights the theory and practical applications of the chemical master equation (CME) approach for very large biochemical networks, which provides a powerful general framework for model building in a variety of biological networks. The aim of the book is to not only highlight advanced numerical solution methods for the CME, but also reveal their potential by means of practical examples. The case studies presented are mainly from biology; however, the applications from novel methods are discussed comprehensively, underlining the interdisciplinary approach in simulation and the potential of the chemical master equation approach for modelling bionetworks. The book is a valuable guide for researchers, graduate students, and professionals alike. 410 0$aPhysics and Astronomy Series 606 $aMathematical physics 606 $aComputer simulation 606 $aBioinformatics 606 $aBiomathematics 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Physics and Simulations 606 $aComputational and Systems Biology 606 $aMathematical and Computational Biology 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aMathematical physics. 615 0$aComputer simulation. 615 0$aBioinformatics. 615 0$aBiomathematics. 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Physics and Simulations. 615 24$aComputational and Systems Biology. 615 24$aMathematical and Computational Biology. 615 24$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a574.192 700 $aKulasiri$b Don$01065159 702 $aKosarwal$b Rahul 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910502664103321 996 $aChemical Master Equation for Large Biological Networks$92557668 997 $aUNINA