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Titlebook: Computational Methods in Systems Biology; 22nd International C Roberta Gori,Paolo Milazzo,Mirco Tribastone Conference proceedings 2024 The

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書(shū)目名稱Computational Methods in Systems Biology
副標(biāo)題22nd International C
編輯Roberta Gori,Paolo Milazzo,Mirco Tribastone
視頻videohttp://file.papertrans.cn/243/242256/242256.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computational Methods in Systems Biology; 22nd International C Roberta Gori,Paolo Milazzo,Mirco Tribastone Conference proceedings 2024 The
描述.This book constitutes the refereed proceedings of the 22nd International Conference on Computational Methods in Systems Biology, CMSB 2024, which took place in Pisa, Italy, during September 16-18, 2024.?..The 11 full papers included in this book were carefully reviewed and selected from 23 submissions. They deal with computational methods and tools in systems and synthetic?biology and their applications, focusing on topics such as?modeling?and simulation; high-performance methods for computational systems biology;?identification of biological systems; applications of machine learning; network modeling, analysis, and inference; automated parameter and model synthesis;?model integration and biological databases; multiscale modeling and analysis?methods; design, analysis, and verification methods for synthetic biology; methods for biomolecular computing and engineered molecular devices; data-based?approaches for systems and synthetic biology; optimality and control of biological systems; modeling, analysis, and control of microbial communities. The?conference welcomes new theoretical results with potential applications to systems and synthetic biology, as well as novel applications a
出版日期Conference proceedings 2024
關(guān)鍵詞systems biology; formal methods; reaction networks; Boolean networks; mathematical models; hybrid models;
版次1
doihttps://doi.org/10.1007/978-3-031-71671-3
isbn_softcover978-3-031-71670-6
isbn_ebook978-3-031-71671-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Computational Methods in Systems Biology978-3-031-71671-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/978-3-658-19706-3ed to enable or inhibit other reactions. In RSs interaction with the environment is modeled by a linear sequence of sets of entities called context. In this paper, we present a new interaction language, called .? for implementing and specifying RSs. . extends the classic RS computational model by al
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Erkenntnisinteresse, Ziel und Methode most batch effect-correction algorithms (BECAs) face limitations when the source of unwanted variation and the variable of interest are confounded. In this paper, we use RNA-seq data to study the effects of radiation contamination on tree frogs (.) collected in the Chornobyl Exclusion Zone. We iden
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