Summarizing Biological Networks

Nonfiction, Computers, Advanced Computing, Computer Science, Database Management, Science & Nature, Science
Cover of the book Summarizing Biological Networks by Sourav S. Bhowmick, Boon-Siew Seah, Springer International Publishing
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Author: Sourav S. Bhowmick, Boon-Siew Seah ISBN: 9783319546216
Publisher: Springer International Publishing Publication: April 17, 2017
Imprint: Springer Language: English
Author: Sourav S. Bhowmick, Boon-Siew Seah
ISBN: 9783319546216
Publisher: Springer International Publishing
Publication: April 17, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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