Computational Systems Biology: Inference and Modelling

Paola Lecca (Professor, Laboratory of Computational Oncology, Centre for Integrative Biology (CIBIO), University of Trento, Italy),Angela Re (Postdoctoral Fellow, Centre for Integrative Biology (CIBIO), University of Trento, Italy),Adaoha Elizabeth Ihekwaba (Researcher, Gut Health and Food Safety, Institute of Food Research, Norwich, UK),Ivan Mura (Department of Industrial Engineering, Los Andes University, Bogota, Columbia),Thanh-Phuong Nguyen (Researcher, Faculty of Science, Technology and Communication, University of Luxembourg, Luxembourg)

Computational Systems Biology: Inference and Modelling
Format
Hardback
Publisher
Elsevier Science & Technology
Country
United Kingdom
Published
22 March 2016
Pages
180
ISBN
9780081000953

Computational Systems Biology: Inference and Modelling

Paola Lecca (Professor, Laboratory of Computational Oncology, Centre for Integrative Biology (CIBIO), University of Trento, Italy),Angela Re (Postdoctoral Fellow, Centre for Integrative Biology (CIBIO), University of Trento, Italy),Adaoha Elizabeth Ihekwaba (Researcher, Gut Health and Food Safety, Institute of Food Research, Norwich, UK),Ivan Mura (Department of Industrial Engineering, Los Andes University, Bogota, Columbia),Thanh-Phuong Nguyen (Researcher, Faculty of Science, Technology and Communication, University of Luxembourg, Luxembourg)

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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