Modeling and Analysis of Bio-molecular Networks (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	December 2021
First published:	2020
Authors:	Jinhu Lu • Pei Wang
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	464
Edition:	1st ed. 2020
ISBN-13:	978-981-15-9146-4
Categories:	Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Computing & IT > General theory of computing > General Promotions
LSN:	981-15-9146-6
Barcode:	9789811591464

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