Summarizing Biological Networks
Published on 25. July 2018
Book
Paperback/Softback
XV, 146 pages
978-3-319-85438-0 (ISBN)
Description
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.
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.
More details
Series
Edition
Softcover reprint of the original 1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
23 s/w Abbildungen, 31 farbige Abbildungen
XV, 146 p. 54 illus., 31 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 10 mm
Weight
260 gr
ISBN-13
978-3-319-85438-0 (9783319854380)
DOI
10.1007/978-3-319-54621-6
Schweitzer Classification
Other editions
Additional editions
Sourav S. Bhowmick | Boon-Siew Seah
Summarizing Biological Networks
Book
04/2017
Springer
€117.69
Shipment within 10-15 days
Persons
Sourav S Bhowmick
Sourav S. Bhowmick is an Associate Professor in the School of Computer Science and Engineering (SCSE) at Nanyang Technological University, Singapore. His core research expertise is in data management, human-data interaction, and data analytics. His research has appeared in premium venues such as ACM SIGMOD, VLDB, ACM WWW, ACM MM, ACM SIGIR, The VLDB Journal, Bioinformatics, and Biophysical Journal. He is co-recipient of Best Paper Awards in ACM CIKM 2004, ACM BCB 2011, and VLDB 2021 for work on mining structural evolution of tree-structured data, generating functional summaries, and scalable attributed network embedding, respectively. He is a co-recipient of 2021 ACM SIGMOD Research Highlights Award. Sourav serves as a member of the SIGMOD Executive Committee, is a regular member of the PVLDB Advisory Board, and co-leads the committee for Diversity and Inclusion in Database Conference Venues. In 2018, he was a co-recipient of theVLDB Service Award from the VLDB Endowment. He was inducted into Distinguished Members of the ACM in 2020.
Byron Choi
Byron Choi is the Associate Head and an Associate Professor at the Department of Computer Science at Hong Kong Baptist University (HKBU). His research interests include graph-structured databases, database usability, database security, and time series analysis. Byron's publications have appeared in premium venues such as TKDE, VLDBJ, SIGMOD, PVLDB/VLDB, and ICDE. He has served as a program committee member or reviewer of premium conferences and journals, including PVLDB, VLDBJ, ICDE, IEEE TKDE, and ACM TOIS. He was recognized as a distinguished program committee (PC) member by ACM SIGMOD 2021 and received a best reviewer award from ACM CIKM 2021 and distinguished reviewer award from PVLDB 2019. He served as the director of a Croucher Foundation Advanced Study Institute (ASI) program titled "Frontiers in Big Data Graph Research"in 2015 and was a recipient of the HKBU President's Award for Outstanding Young Researcher in 2016.
Content
Introduction.- Background.- Clustering PPI Networks.- Functional Summarization.- Multi-faceted Functional Decomposition.- Differential Functional Summarization.- The Road Ahead.