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Title
Recent advances in biological network analysis : comparative network analysis and network module detection / Byung-Jun Yoon, Xiaoning Qian, editors.
ISBN
9783030571733 (electronic book)
3030571734 (electronic book)
9783030571726
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource (xii, 217 pages) : illustrations (some color)
Other Standard Identifiers
10.1007/978-3-030-57173-3 doi
Call Number
QH324.2
Dewey Decimal Classification
570.285
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 5, 2021).
Available in Other Form
Print version: 9783030571726
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.
