System Modeling in Cellular Biology 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


System Modeling in Cellular Biology

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Szallasi, Zoltan (EDT)/ Stelling, Jorg (EDT)/ Periwal, Vipul (EDT) 作者
The MIT Press
譯者
2006-04-03 出版日期
464 頁數
USD 50.00 價格
Hardcover
叢書系列
9780262195485 圖書編碼

System Modeling in Cellular Biology 在線電子書 圖書標籤: 生物  係統生物學  科學  Systems-Biology   


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System Modeling in Cellular Biology 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

System Modeling in Cellular Biology 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

System Modeling in Cellular Biology 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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System Modeling in Cellular Biology 在線電子書 著者簡介


System Modeling in Cellular Biology 在線電子書 著者簡介


System Modeling in Cellular Biology 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

System Modeling in Cellular Biology 在線電子書 圖書描述

Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.<br /> <br /> The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

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