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Jinhu Lu,Pei Wang

Modeling and Analysis of Bio-molecular Networks

Modeling and Analysis of Bio-molecular Networks

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  • More about Modeling and Analysis of Bio-molecular Networks

This book discusses how to model and analyze bio-molecular networks,including gene regulatory and protein-protein interaction networks,using sophisticated mathematical and statistical approaches. It covers reconstructing networks,modeling and analyzing simple genetic circuits,coupled genetic circuits,middle-sized and large-scale biological networks,and exploring statistical methods for identifying significant bio-molecules and analyzing omics data. It is a valuable resource for readers interested in applying systems biology,dynamical systems,or complex networks to understand life phenomena.

Format: Paperback / softback
Length: 464 pages
Publication date: 08 December 2021
Publisher: Springer Verlag, Singapore


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 analyzing 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.

Weight: 741g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811591464
Edition number: 1st ed. 2020

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