Summarizing Biological Networks: Computational Biology, cartea 24
Autor Sourav S. Bhowmick, Boon-Siew Seahen Limba Engleză Hardback – 24 apr 2017
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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Specificații
ISBN-13: 9783319546209
ISBN-10: 3319546201
Pagini: 160
Ilustrații: XV, 146 p. 54 illus., 31 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.41 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seria Computational Biology
Locul publicării:Cham, Switzerland
ISBN-10: 3319546201
Pagini: 160
Ilustrații: XV, 146 p. 54 illus., 31 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.41 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seria Computational Biology
Locul publicării:Cham, Switzerland
Cuprins
Introduction.- Background.- Clustering PPI Networks.- Functional Summarization.- Multi-faceted Functional Decomposition.- Differential Functional Summarization.- The Road Ahead.
Textul de pe ultima copertă
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.
Caracteristici
Covers fundamental concepts in biological networks to help readers establish a solid knowledge foundation Treats both theoretical and experimental aspects of various algorithms for biological network summarization Explains various complex techniques through relevant examples Introduces readers to key open research problems in this burgeoning field Includes supplementary material: sn.pub/extras