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Computational systems biology : inference and modelling / Paola Lecca...[et al.].

By: Lecca, Paola [author].
Contributor(s): Re, Angelare [author] | Ihekwaba, Adaoha [author] | Mura, Ivan [author] | Nguyen, thanh-Phuong [author].
Material type: materialTypeLabelBookSeries: Woodhead Publishing series in biomedicine ; 86.Publisher: Amsterdam : Elsevier, ©2016Description: xv, 164 pages : illustrations (some color) ; 24 cm.ISBN: 9780081000953 (hardback).Subject(s): Bioinformatics | Biological systems -- Computer simulation | Biological systems -- Mathematical models | Systems biology -- MethodologyDDC classification: 570.113
Contents:
Chapter 1: Overview of Biological Network Inference and Modeling of Dynamics -- Chapter 2: Network Inference From Steady-State Data -- Chapter 3: Network Inference From Time-Course Data -- Chapter 4: Network-Based Conceptualization of Observational Data -- Chapter 5: Deterministic Differential Equations -- Chapter 6: Stochastic Differential Equations -- Chapter 7: From Network Inference to the Study of Human Diseases -- Chapter 8: Conclusions.
Summary: Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems. This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network analysis, inference, and modeling. The chapters are light in jargon and technical detail so as to make them accessible to the non-specialist reader. The book is addressed at the heterogeneous public of modelers, biologists, and computer scientists.
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Item type Current location Call number Status Date due Barcode Item holds
Books Books ISI Library, Kolkata
 
570.113 L457 (Browse shelf) Checked out 23/09/2017 137765
Total holds: 0

Includes bibliographical references and index.

Chapter 1: Overview of Biological Network Inference and Modeling of Dynamics --
Chapter 2: Network Inference From Steady-State Data --
Chapter 3: Network Inference From Time-Course Data --
Chapter 4: Network-Based Conceptualization of Observational Data --
Chapter 5: Deterministic Differential Equations --
Chapter 6: Stochastic Differential Equations --
Chapter 7: From Network Inference to the Study of Human Diseases --
Chapter 8: Conclusions.

Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems. This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network analysis, inference, and modeling. The chapters are light in jargon and technical detail so as to make them accessible to the non-specialist reader. The book is addressed at the heterogeneous public of modelers, biologists, and computer scientists.

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