Biological Network Analysis: Trends, Approaches, Graph Theory, And Algorithms
by Pietro Hiram Guzzi 2020-11-23 18:51:52
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Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithmsconsiders three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes... Read more

Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithmsconsiders three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The book''s authors discuss various graph theoretic and data analytics approaches used to analyze these networks with respect to available tools, technologies, standards, algorithms and databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare networks, this book is a timely resource.



  • Presents recent advances in biological network analysis, combining Graph Theory, Graph Analysis, and various network models
  • Discusses three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN) and Human Brain Connectomes
  • Includes a discussion of various graph theoretic and data analytics approaches
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  • Print pages
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  • ISBN
  • 9.25 X 7.5 X 0 in
  • 210
  • Elsevier Science
  • May 12, 2020
  • English
  • 9780128193501
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