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Titlebook: Computational Methods in Systems Biology; 14th International C Ezio Bartocci,Pietro Lio,Nicola Paoletti Conference proceedings 2016 Springe

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書目名稱Computational Methods in Systems Biology
副標(biāo)題14th International C
編輯Ezio Bartocci,Pietro Lio,Nicola Paoletti
視頻videohttp://file.papertrans.cn/233/232796/232796.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Methods in Systems Biology; 14th International C Ezio Bartocci,Pietro Lio,Nicola Paoletti Conference proceedings 2016 Springe
描述.This book constitutes the refereed proceedings of the 14th International Conference on Computational Methods in Systems Biology, CMSB 2016, held in Cambridge, UK, in September 2016. The 20 full papers, 3 tool papers and 9 posters presented were carefully reviewed and selected from 37 regular paper submissions. The topics 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 and parallel implementations; model inference from experimental data; model integration from biological databases; multi-scale modeling and analysis methods; and computational approaches for synthetic biology..
出版日期Conference proceedings 2016
關(guān)鍵詞formal methods; live and medical sciences; model checking; simulation and modeling; uncertainty quantifi
版次1
doihttps://doi.org/10.1007/978-3-319-45177-0
isbn_softcover978-3-319-45176-3
isbn_ebook978-3-319-45177-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2016
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232796.jpg
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Gergely Szolnoki,Liz Thach,Dani Kolbiological systems, expressing properties of them, and verifying these properties. The potential candidate logics should have a traditional proof theoretic pedigree (including a sequent calculus presentation enjoying cut-elimination and focusing), and should come with (certified) proof tools. Beyond
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Mobile Technologies in Teacher Educationeither on statistical sampling or can only be applied to small systems. Here we present an inference procedure for stochastic models in equilibrium that is based on a moment matching scheme with optimal weighting and that can be used with high-throughput data like the one collected by flow cytometry
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