Author: | WenJun Zhang | ISBN: | 9781786345103 |
Publisher: | World Scientific Publishing Company | Publication: | May 16, 2018 |
Imprint: | WSPC (EUROPE) | Language: | English |
Author: | WenJun Zhang |
ISBN: | 9781786345103 |
Publisher: | World Scientific Publishing Company |
Publication: | May 16, 2018 |
Imprint: | WSPC (EUROPE) |
Language: | English |
As the first comprehensive title on network biology, this book covers a wide range of subjects including scientific fundamentals (graphs, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks, link prediction, flow analysis, network dynamics, evolution, simulation and control, ecological networks, social networks, molecular and cellular networks, network pharmacology and network toxicology, big data analytics, and more.
Across 12 parts and 26 chapters, with Matlab codes provided for most models and algorithms, this self-contained title provides an in-depth and complete insight on network biology. It is a valuable read for high-level undergraduates and postgraduates in the areas of biology, ecology, environmental sciences, medical science, computational science, applied mathematics, and social science.
Contents:
Mathematical Fundamentals:
Crucial Nodes/Subnetworks/Modules, Network Types, and Structural Comparison:
Network Dynamics, Evolution, Simulation and Control:
Flow Analysis:
Link and Node Prediction:
Network Construction:
Pharmacological and Toxicological Networks:
Ecological Networks:
Microscopic Networks:
Social Networks:
Software:
Big Data Analytics:
Readership: Advanced undergraduates and graduate students and researchers in biology, ecology, pharmacology, applied mathematics, computational science, etc.
0
As the first comprehensive title on network biology, this book covers a wide range of subjects including scientific fundamentals (graphs, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks, link prediction, flow analysis, network dynamics, evolution, simulation and control, ecological networks, social networks, molecular and cellular networks, network pharmacology and network toxicology, big data analytics, and more.
Across 12 parts and 26 chapters, with Matlab codes provided for most models and algorithms, this self-contained title provides an in-depth and complete insight on network biology. It is a valuable read for high-level undergraduates and postgraduates in the areas of biology, ecology, environmental sciences, medical science, computational science, applied mathematics, and social science.
Contents:
Mathematical Fundamentals:
Crucial Nodes/Subnetworks/Modules, Network Types, and Structural Comparison:
Network Dynamics, Evolution, Simulation and Control:
Flow Analysis:
Link and Node Prediction:
Network Construction:
Pharmacological and Toxicological Networks:
Ecological Networks:
Microscopic Networks:
Social Networks:
Software:
Big Data Analytics:
Readership: Advanced undergraduates and graduate students and researchers in biology, ecology, pharmacology, applied mathematics, computational science, etc.
0