BookByung-Jun Yoon, Xiaoning Qian, editors.
Springer Nature eBook.
Summary: This book reviews recent advances in the emerging field of computational network biology with special emphasis on comparative network analysis and network module detection. The chapters in this volume are contributed by leading international researchers in computational network biology and offer in-depth insight on the latest techniques in network alignment, network clustering, and network module detection. Chapters discuss the advantages of the respective techniques and present the current challenges and open problems in the field. Recent Advances in Biological Network Analysis: Comparative Network Analysis and Network Module Detection will serve as a great resource for graduate students, academics, and researchers who are currently working in areas relevant to computational network biology or wish to learn more about the field. Data scientists whose work involves the analysis of graphs, networks, and other types of data with topological structure or relations can also benefit from the book's insights.
Contents:
Chapter 1: Global Alignment of PPI Networks
Chapter 2: Integrated Network-Based Computational Analysis for Drug Development
Chapter 3: Effective Random Walk Models for Comparative Network Analysis
Chapter 4: Computational Methods for Protein-Protein Interaction Network Alignment
Chapter 5: Network Propagation for the Analysis of Multi_Omics Data
Chapter 6: Motifs in Biological Networks
Chapter 7: Bio Fabric Visualization of Network Alignments
Chapter 8: Module Identification of Biological Networks via Graph Partition
Chapter 9: Network Module Detection to Decipher the Heterogeneity of Cancer Mutations.