Computational Methods in Systems Biology International Conference CMSB 2007, Edinburgh, Scotland, September 20-21, 2007. Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Calder, Muffy (Επιμελητής έκδοσης), Gilmore, Stephen (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Σειρά:Lecture Notes in Computer Science, 4695
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Computational Methods in Systems Biology  |h [electronic resource] :  |b International Conference CMSB 2007, Edinburgh, Scotland, September 20-21, 2007. Proceedings /  |c edited by Muffy Calder, Stephen Gilmore. 
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490 1 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 4695 
505 0 |a Chemical Master Equation and Langevin Regimes for a Gene Transcription Model -- Simultaneous Stochastic Simulation of Multiple Perturbations in Biological Network Models -- Modelling Yeast Pre-rRNA Processing -- On the Analysis of Numerical Data Time Series in Temporal Logic -- Context Sensitivity in Logical Modeling with Time Delays -- Stochastic Simulation of Biological Systems with Dynamical Compartment Structure -- Computational Simulation of Optical Tracking of Cell Populations Using Quantum Dot Fluorophores -- A Formal and Integrated Framework to Simulate Evolution of Biological Pathways -- Reconstruction of Mammalian Cell Cycle Regulatory Network from Microarray Data Using Stochastic Logical Networks -- An Automated Translation from a Narrative Language for Biological Modelling into Process Algebra -- Expressive Models for Synaptic Plasticity -- Modelization and Simulation of Nano Devices in nano ? Calculus -- Efficient, Correct Simulation of Biological Processes in the Stochastic Pi-calculus -- A Unifying Framework for Modelling and Analysing Biochemical Pathways Using Petri Nets -- Reconstructing Metabolic Pathways by Bidirectional Chemical Search -- Decision Diagrams for the Representation and Analysis of Logical Models of Genetic Networks. 
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