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

By: Contributor(s): Material type: TextTextSeries: Woodhead Publishing series in biomedicine ; 86.Publication details: Amsterdam : Elsevier, ©2016.Description: xv, 164 pages : illustrations (some color) ; 24 cmISBN:
  • 9780081000953 (hardback)
Subject(s): DDC classification:
  • 570.113 23 L457
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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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 570.113 L457 (Browse shelf(Opens below)) Available 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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