Network Biology: Theories, Methods and Applications

WenJun Zhang (Editor)
Sun Yat-sen University, Guangzhou, China

Series: Systems Biology – Theory, Techniques and Applications
BISAC: SCI064000

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Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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Biological network analysis is a fast moving science. Many core scientific issues; for example, ecological structure, coevolution, coextinction and biodiversity conservation in ecology, cancer development and metabolic regulation in health science, etc., are expected to be addressed by network analysis. Network analysis is becoming the core methodology to treat complex biological systems. With the quick development of this science, more and more papers on biological networks are published.

This book includes such theories and methods of network biology as methodology of social network analyses, construction of statistic networks, phylogenetic networks, multi-stable and oscillatory biological networks, creation of real networks with expected degree distribution, forest ecosystem model, etc. Chapters are contributed by 15 scientists from the USA, Canada, New Zealand, China, Sweden, and Spain, in the areas of computational science and life sciences. It will provide researchers with various aspects of the latest advances in network biology. It is a valuable reference for scientists, university teachers and graduate students in biology, health science, ecology, social science, applied mathematics and computational science. (Imprint: Nova Biomedical )

Preface

Chapter 1. Analytical Frameworks of Social Network Analyses
(Swarna Weerasinghe, Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada)

Chapter 2. Phylogenetic Networks are Fundamentally Different from Other Kinds of Biological Networks
(David A. Morrison, Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Uppsala, Sweden)

Chapter 3. Construction of the Statistic Network from Field Sampling
(WenJun Zhang, School of Life Sciences, Sun Yat-sen University, Guangzhou, China, and others)

Chapter 4. Systems Biology and Environmental Exposures
(Julia E. Rager and Rebecca C. Fry, Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA, and others)
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Chapter 5. A Method for Creating a Real Network with Expected Mean and Variance of Degree Distribution
(WenJun Zhang and GuangHua Liu, School of Life Sciences, Sun Yat-sen University, Guangzhou, China, and others)

Chapter 6. Testing a Tree Productivity -Climate Model with Dendrochronological Data
(Yueh-Hsin Lo, Juan A. Blanco, Brad Seely, J.P. (Hamish) Kimmins and Clive Welham, School of Forestry and Resource Conservation, National Taiwan University, Taipei, Taiwan (R.O.C., and others)

Chapter 7. Modelling Stochasticity in Multi-stable and Oscillatory Biological Networks far from Equilibrium
(Thusangi Wannige, Don Kulasiri and Sandhya Samarasinghe, Centre for Advanced Computational Solutions (C-fACS), Lincoln University, Christchurch, New Zealand)

Index

Audience: Scientists, university teachers and graduate students in biology, health science, ecology, social science, applied mathematics and computational science.

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