Isbn: 9789811591464 - modeling and analysis of bio-molecular networks (10 resultados)

Condición: New. In English.

Taschenbuch. Condición: 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. …

Taschenbuch. Condición: 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 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 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.…

Condición: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.

Condición: new. Questo è un articolo print on demand.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 relationship.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 488 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 488 pp. Englisch.…

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.