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Titlebook: Computational Methods in Systems Biology; 12th International C Pedro Mendes,Joseph O. Dada,Kieran Smallbone Conference proceedings 2014 Spr

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書目名稱Computational Methods in Systems Biology
副標(biāo)題12th International C
編輯Pedro Mendes,Joseph O. Dada,Kieran Smallbone
視頻videohttp://file.papertrans.cn/233/232783/232783.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Methods in Systems Biology; 12th International C Pedro Mendes,Joseph O. Dada,Kieran Smallbone Conference proceedings 2014 Spr
描述This book constitutes the proceedings of the 12th International Conference on Computational Methods in Systems Biology, CMSB 2014, held in Manchester, UK, in November 2014. .The 16 regular papers presented together with 6 poster papers were carefully reviewed and selected from 31 regular and 18 poster submissions. The papers are organized in topical sections on formalisms for modeling biological processes, model inference from experimental data, frameworks for model verification, validation, and analysis of biological systems, models and their biological applications, computational approaches for synthetic biology, and flash posters.
出版日期Conference proceedings 2014
關(guān)鍵詞agent models; biological networks; computational biology; computational transcriptomics; constraints; con
版次1
doihttps://doi.org/10.1007/978-3-319-12982-2
isbn_softcover978-3-319-12981-5
isbn_ebook978-3-319-12982-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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Model Integration and Crosstalk Analysis of Logical Regulatory Networksduce an approach for coupling models taking uncertainties concerning the crosstalk into account. Using constraintbased modeling and formal verification techniques, a pool of possible integrated models is generated in agreement with previously validated behavior of the isolated models as well as addi
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Radial Basis Function Approximations of Bayesian Parameter Posterior Densities for Uncertainty Analyle formation of gradients for cell guidance. One of the key issues for this class of models is the estimation of kinetic parameters from given measurement data, the so called parameter estimation. Measurement noise and the limited amount of data, give rise to uncertainty in estimates which can be ca
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Characterization of Reachable Attractors Using Petri Net Unfoldingsg the response and differentiation capabilities of a dynamical system. In the scope of qualitative models of interaction networks, the computation of attractors reachable from a given state of the network faces combinatorial issues due to the state space explosion..In this paper, we present a new al
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