| 書(shū)目名稱 | Computational Modeling of Signaling Networks |
| 編輯 | Lan K. Nguyen |
| 視頻video | http://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(shū)名稱 | Methods in Molecular Biology |
| 圖書(shū)封面 |  |
| 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 |
| doi | https://doi.org/10.1007/978-1-0716-3008-2 |
| isbn_softcover | 978-1-0716-3010-5 |
| isbn_ebook | 978-1-0716-3008-2Series ISSN 1064-3745 Series E-ISSN 1940-6029 |
| issn_series | 1064-3745 |
| copyright | Springer Science+Business Media, LLC, part of Springer Nature 2023 |
|Archiver|手機(jī)版|小黑屋|
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