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Titlebook: Computational Methods in Systems Biology; 16th International C Milan ?e?ka,David ?afránek Conference proceedings 2018 Springer Nature Switz

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書目名稱Computational Methods in Systems Biology
副標(biāo)題16th International C
編輯Milan ?e?ka,David ?afránek
視頻videohttp://file.papertrans.cn/233/232791/232791.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Methods in Systems Biology; 16th International C Milan ?e?ka,David ?afránek Conference proceedings 2018 Springer Nature Switz
描述.This book constitutes the refereed proceedings of the 16th International Conference on Computational Methods in Systems Biology, CMSB 2018, held in BRNO, Czech Republic, in September 2018. .The 15 full and 7 short papers presented together with 5 invited talks were carefully reviewed and selected from 46 submissions. Topics of interest include formalisms for modeling ?biological processes; models?and their biological applications; frameworks for model verification, validation,?analysis, and simulation of biological systems; high-performance computational?systems biology; parameter and model inference from experimental?data; automated parameter and model synthesis; model integration and biological databases; multi-scale modeling and analysis methods; design, analysis, and verification methods for synthetic biology; methods for biomolecular computing and engineered molecular devices..Chapters 3, 9 and 10 are available open access under a CreativeCommons Attribution 4.0 International License via link.springer.com..
出版日期Conference proceedings 2018
關(guān)鍵詞Agent / Discrete Models; Artificial intelligence; Computational Systems Biology; Continuous Models; Data
版次1
doihttps://doi.org/10.1007/978-3-319-99429-1
isbn_softcover978-3-319-99428-4
isbn_ebook978-3-319-99429-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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Formal Analysis of Network Motifs, we extend this approach to allow reasoning about the requirement for specific network motifs as a way of explaining how these behaviors arise. We illustrate the approach by analyzing the motifs involved in sign-sensitive delay and pulse generation. We demonstrate the scalability and biological rel
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Buffering Gene Expression Noise by MicroRNA Based Feedforward Regulationble than the second. Finally, we identify a special parametric regime, supporting a broad range of behaviour, in which the distribution can be analytically described in terms of the confluent hypergeometric limit function. We verify our analysis against large-scale kinetic Monte Carlo simulations. O
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Composable Rate-Independent Computation in Continuous Chemical Reaction Networksiderata, permitting implementations that violate mass-action kinetics, or even “well-mixedness”, and allowing the systematic construction of complex computation via modular design. We show that to construct composable rate-independent CRNs, it is necessary and sufficient to ensure that the output sp
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0302-9743 ices..Chapters 3, 9 and 10 are available open access under a CreativeCommons Attribution 4.0 International License via link.springer.com..978-3-319-99428-4978-3-319-99429-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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