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Biological Network Analysis

Trends, Approaches, Graph Theory, and Algorithms

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eBook

1. Auflage, 2020


Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers 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


Pietro H. Guzzi is an Assocaite Professor of Computer Engineering at the University 'Magna Græcia' of Catanzaro, Italy, since 2008. He received his PhD in Biomedical Engineering in 2008, from Magna Græcia University of Catanzaro. He received his Laurea degree in Computer Engineering in 2004 from the University of Calabria, Rende, Italy. His research interests comprise bioinformatics, the analysis of proteomics data, and the analysis of protein interaction networks. Pietro is an ACM member and serves the scientific community as reviewer for many conferences. He is associate editor of IEEE/ACM TCBB Journal, and of SIGBioinformatics Record.
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