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

Presents the latest tools and techniques for applying graphical theoretics and data analytics to biological network analysis

Pietro Hiram Guzzi (Author), Swarup Roy (Author)

9780128193501, Elsevier Science

Paperback, published 12 May 2020

210 pages, 200 illustrations (50 in full color)
23.4 x 19 x 1.5 cm, 0.45 kg

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.

1. Introduction2. Preliminaries of Graph Theory3. Graph Analysis4. Complex Network Models5. Graph Databases in Bioinformatics and Computational Biology6. Gene Regulatory Networks-Inference and Analysis7. Protein Protein Interaction Networks8. Brain Connectomes and Analysis9. Conclusion

Subject Areas: Biomedical engineering [MQW]