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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
Students and researchers in biomedical engineering and computational biology who are interested in biological network analysis for biological modelling
2. Preliminaries of Graph Theory
3. Graph Analysis
4. Complex Network Models
5. Graph Databases in Bioinformatics and Computational Biology
6. Gene Regulatory Networks-Inference and Analysis
7. Protein Protein Interaction Networks
8. Brain Connectomes and Analysis
- No. of pages:
- © Academic Press 2020
- 12th May 2020
- Academic Press
- Paperback ISBN:
- eBook ISBN:
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.
Associate Professor of Computer Engineering, University of Magna Græcia, Catanzaro, Italy
Swarup Roy is an Associate Professor in Computer Applications at Sikkim (Central) University, India. He received his MTech and PhD (Comp. Sc. & Engg) from Tezpur University, one of the top-ranked University in India. He worked as Post Doc Fellow at the University of Colorado at Colorado Springs, USA and Indian Institute of Technology, Guwahati, India. His research interests include data mining, machine learning and its application to social and biological network analysis, and omics data analysis. He published a number of papers in different peer-reviewed international journals and conference proceedings and authored a book. He is in technical committee of various reputed international journals and conferences and co-chaired ACM-BCB 2017, USA.
Associate Professor in Computer Applications, Sikkim (Central) University, India
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