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Titlebook: Computational Modeling of Signaling Networks; Lan K. Nguyen Book 2023 Springer Science+Business Media, LLC, part of Springer Nature 2023 C

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發(fā)表于 2025-3-21 19:38:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Modeling of Signaling Networks
編輯Lan K. Nguyen
視頻videohttp://file.papertrans.cn/233/232827/232827.mp4
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: Computational Modeling of Signaling Networks;  Lan K. Nguyen Book 2023 Springer Science+Business Media, LLC, part of Springer Nature 2023 C
描述.This volume focuses on the computational modeling of cell signaling networks and the application of these models and model-based analysis to systems and personalized medicine. Chapters guide readers through various modeling approaches for signaling networks, new methods and techniques that facilitate model development and analysis, and new applications of signaling network modeling towards systems and personalized treatment of cancer. Written in the format of the highly successful?.Methods in Molecular Biology?.series, each chapter includes an introduction to the topic, lists necessary materials and methods, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols...?..Authoritative and cutting-edge,?.Computational Modeling of Signaling Networks .aims to benefit a wide spectrum of readers including researchers from the biological as well as computational systems biology communities..
出版日期Book 2023
關(guān)鍵詞Cell signaling; Disease-relevant data; Novel drug targets; Signaling pathways; Personalized medicine
版次1
doihttps://doi.org/10.1007/978-1-0716-3008-2
isbn_softcover978-1-0716-3010-5
isbn_ebook978-1-0716-3008-2Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2023
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https://doi.org/10.1007/978-1-0716-3008-2Cell signaling; Disease-relevant data; Novel drug targets; Signaling pathways; Personalized medicine
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J. Eriksen,M. D. Murphy,E. Schnug of kinetic parameters and state variables. Depending on the specific parameter values, a network can display one of a variety of possible dynamic behaviors such as monostable fixed point, damped oscillation, sustained oscillation, and/or bistability. Understanding how a network behaves under a part
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Food Production and Plant Nutrient Sulphur,oduced or even repeated when the model is shared. For computational modeling of biochemical networks, there is a dearth of formal training and resources available describing how to practically implement reproducible methods, despite a wealth of existing tools and formats which could be used to suppo
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