Summarizing Biological Networks

This book focuses on the data mining, systems biology, and bioinformatics computational methods that can be used to summarize biological networks. Specifically, it discusses an array of techniques related to biological network clustering, network summarization, and differential network analysis which enable readers to uncover the functional and topological organization hidden in a large biological network. The authors also examine crucial open research problems in this arena. 
Academics, researchers, and advanced-level students will find this book to be a comprehensive and exceptional resource for understanding computational techniques and their applications for a summary of biological networks.

List of contents

Introduction.- Background.- Clustering PPI Networks.- Functional Summarization.- Multi-faceted Functional Decomposition.- Differential Functional Summarization.- The Road Ahead.

Summary

This book focuses on the data mining, systems biology, and bioinformatics computational methods that can be used to summarize biological networks. Specifically, it discusses an array of techniques related to biological network clustering, network summarization, and differential network analysis which enable readers to uncover the functional and topological organization hidden in a large biological network. The authors also examine crucial open research problems in this arena. 
Academics, researchers, and advanced-level students will find this book to be a comprehensive and exceptional resource for understanding computational techniques and their applications for a summary of biological networks.

Product details

• Authors: Sourav Bhowmick, Sourav S Bhowmick, Sourav S. Bhowmick, Boon-Siew Seah
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 31.05.2017
• EAN: 9783319546209
• ISBN: 978-3-31-954620-9
• No. of pages: 146
• Dimensions: 157 mm x 15 mm x 242 mm
• Weight: 362 g
• Illustrations: XV, 146 p. 54 illus., 31 illus. in color.
• Series: Computational Biology; Computational Biology
• Subjects: Natural sciences, medicine, IT, technology > Biology > Miscellaneous; B, Data Mining, computer science, bioinformatics, Life sciences: general issues, Data Mining and Knowledge Discovery, Systems Biology, Information technology: general issues, Computational and Systems Biology, Computational Biology/Bioinformatics, Expert systems / knowledge-based systems