Summarizing Biological Networks - Bhowmick, Sourav S.

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Auteur(s) : Bhowmick, Sourav S. - Seah, Boon-Siew

Editeur : Springer International Publishing Ag

Langue : Anglais

Parution : 01/07/2018

Format : Moyen, de 350g à 1kg

Nombre de pages : 164

Expédition : 260

Dimensions : 23.5 x 15.5 x 1.0

ISBN : 3319854380

Résumé :

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.

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Biographie:
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 Researchin 2015 and was a recipient of the HKBU President's Award for Outstanding Young Researcher in 2016....

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