Read While You Wait - Get immediate ebook access, if available*, when you order a print book

cover

Recent Advances in Biological Network Analysis

Comparative Network Analysis and Network Module Detection

Editors: Yoon, Byung-Jun, Qian, Xiaoning (Eds.)

  • Presents an accessible overview of the emerging field of computational network biology for readers who are new to the field
  • Introduces the latest techniques in computational network biology, especially, comparative network analysis and network module detection
  • Points readers to the latest available resources in the field, including network and pathway databases, benchmarks, existing algorithms, and source code
see more benefits

Buy this book

eBook 109,99 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: December 4, 2020
  • ISBN 978-3-030-57173-3
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 145,59 €
price for Spain (gross)
  • Due: December 4, 2020
  • ISBN 978-3-030-57172-6
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.  

About the authors

Prof. Byung-Jun Yoon received the B.S.E. (summa cum laude) degree from the Seoul National University (SNU), Seoul, Korea, and the M.S. and Ph.D. degrees from the California Institute of Technology (Caltech), Pasadena, CA, all in Electrical Engineering. He is currently an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University, College Station, TX, USA. Prof. Yoon also holds a joint appointment at the Brookhaven National Laboratory (BNL), Upton, NY, where he is a Scientist in Computational Science Initiative (CSI). His awards and honors include the National Science Foundation (NSF) CAREER Award, the Best Paper Award at the 9th Asia Pacific Bioinformatics Conference (APBC), the Best Paper Award at the 12th Annual MCBIOS Conference, and the SLATE Teaching Excellence Award from the Texas A&M University System. Prof. Yoon’s main research interests include bioinformatics, computational network biology, machine learning, and signal processing.

Prof. Xiaoning Qian received the Ph.D. degree in Electrical Engineering from Yale University, New Haven, CT, USA. He is currently an Associate Professor with the Department of Electrical and Computer Engineering. He is also a member of the TEES (Texas A&M Engineering Experiment Station)-AgriLife Center for Bioinformatics and Genomic Systems Engineering and the Center for Translational Environmental Health Research at Texas A&M University. His awards include the National Science Foundation CAREER Award, the Texas A&M Engineering Experiment Station (TEES) Faculty Fellow, and the Montague-Center for Teaching Excellence Scholar at Texas A&M University. His research focuses on developing mathematical models and computational algorithms in signal processing, machine learning, and Bayesian methods, especially in learning, uncertainty quantification, and experimental design. He has actively applied probabilistic models and optimization algorithms for systematic analysis of biomedical data and systems, including biomedical signals, images, gene expression, and molecular networks. He has been working on several funded interdisciplinary projects applying developed computational algorithms in biomedicine.

Buy this book

eBook 109,99 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: December 4, 2020
  • ISBN 978-3-030-57173-3
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 145,59 €
price for Spain (gross)
  • Due: December 4, 2020
  • ISBN 978-3-030-57172-6
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • The final prices may differ from the prices shown due to specifics of VAT rules
Loading...

Services for this Book

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Recent Advances in Biological Network Analysis
Book Subtitle
Comparative Network Analysis and Network Module Detection
Editors
  • Byung-Jun Yoon
  • Xiaoning Qian
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-57173-3
DOI
10.1007/978-3-030-57173-3
Hardcover ISBN
978-3-030-57172-6
Edition Number
1
Number of Pages
X, 290
Number of Illustrations
14 b/w illustrations, 30 illustrations in colour
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works and instructor copies are not included.