9789811591464 - modeling and analysis of bio-molecular networks von lü, jinhu; wang, pei (3 Ergebnisse)
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Taschenbuch. Zustand: Neu. Modeling and Analysis of Bio-molecular Networks | Jinhu Lü (u. a.) | Taschenbuch | xxi | Englisch | 2021 | Springer | EAN 9789811591464 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 relationsh…ips 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 betweenthe 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.
