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Modeling And Analysis Of Biomolecular Networks 1st Ed Jinhu L

  • SKU: BELL-22474058
Modeling And Analysis Of Biomolecular Networks 1st Ed Jinhu L
$ 31.00 $ 45.00 (-31%)

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Modeling And Analysis Of Biomolecular Networks 1st Ed Jinhu L instant download after payment.

Publisher: Springer Singapore;Springer
File Extension: PDF
File size: 21.72 MB
Author: Jinhu Lü, Pei Wang
ISBN: 9789811591433, 9789811591440, 9811591431, 981159144X
Language: English
Year: 2020
Edition: 1st ed.

Product desciption

Modeling And Analysis Of Biomolecular Networks 1st Ed Jinhu L by Jinhu Lü, Pei Wang 9789811591433, 9789811591440, 9811591431, 981159144X instant download after payment.

This book addresses a number of questions from the perspective of complex systems: How can we quantitatively understand the life phenomena? How can we model life systems as complex bio-molecular networks? Are there any methods to clarify the relationships among the structures, dynamics and functions of bio-molecular networks? How can we statistically analyse large-scale bio-molecular networks?

Focusing on the modeling and analysis of bio-molecular networks, the book presents various sophisticated mathematical and statistical approaches. The life system can be described using various levels of bio-molecular networks, including gene regulatory networks, and protein-protein interaction networks. It first provides an overview of approaches to reconstruct various bio-molecular networks, and then discusses the modeling and dynamical analysis of simple genetic circuits, coupled genetic circuits, middle-sized and large-scale biological networks, clarifying the relationships between the structures, dynamics and functions of the networks covered. In the context of large-scale bio-molecular networks, it introduces a number of statistical methods for exploring important bioinformatics applications, including the identification of significant bio-molecules for network medicine and genetic engineering. Lastly, the book describes various state-of-art statistical methods for analysing omics data generated by high-throughput sequencing.

This book is a valuable resource for readers interested in applying systems biology, dynamical systems or complex networks to explore the truth of nature.

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