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Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-P… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code is needed.
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
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