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Titlebook: A Guide to Numerical Modelling in Systems Biology; Peter Deuflhard,Susanna R?blitz Textbook 2015 Springer International Publishing Switzer

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期刊全稱A Guide to Numerical Modelling in Systems Biology
影響因子2023Peter Deuflhard,Susanna R?blitz
視頻videohttp://file.papertrans.cn/141/140971/140971.mp4
發(fā)行地址Mathematics without theorems in clear orientation towards systems biology.Many illustrative examples to explain details.Guide to software indicating its strengths and weaknesses.Includes supplementary
學(xué)科分類Texts in Computational Science and Engineering
圖書(shū)封面Titlebook: A Guide to Numerical Modelling in Systems Biology;  Peter Deuflhard,Susanna R?blitz Textbook 2015 Springer International Publishing Switzer
影響因子.This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the other hand, mathematical books are typically unreadable for computational biologists. The authors of the present book have worked hard to fill this gap. The result is not a book on systems biology, but on computational methods in systems biology. This book originated from courses taught by the authors at Freie Universit?t Berlin. The guiding idea of the courses was to convey those mathematical insights that are indispensable for systems biology, teaching the necessary mathematical prerequisites by means of many illustrative examples and without any theorems. The three chapters cover the mathematical modelling of biochemical and physiological processes, numerical simulation of the dynamics of biological networks and identification of model parameters by means of comparisons with real data. Throughout the text, the strengths and weaknesses of numerical algorithms with respect to various systems biological issues are discussed. Web addresses for dow
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1611-0994 dicating its strengths and weaknesses.Includes supplementary.This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the
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Texts in Computational Science and Engineeringhttp://image.papertrans.cn/a/image/140971.jpg
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https://doi.org/10.1007/978-3-319-20059-0mathematics in computational biology; mathematics in systems biology; numerical simulation; parameter i
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978-3-319-36882-5Springer International Publishing Switzerland 2015
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Lecture Notes in Computer Scienceimulations for a large set of parameters have been performed and analyzed. This is the situation, when no measurements are available. The present chapter deals with the case, when measurements are available and can be used, in principle, to identify at least part of the parameters. Such parameter id
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