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Summarizing biological networks
- 作者: Bhowmick, Sourav S., author.
- 其他作者:
- 其他題名:
- Computational biology ;
- 出版: Cham : Springer International Publishing :Imprint: Springer
- 叢書名: Computational biology,volume 24
- 主題: Protein-protein interactions. , Systems biology. , Computer Science. , Computational biology/Bioinformatics. , Data Mining and Knowledge Discovery. , Systems Biology.
- ISBN: 9783319546216 (electronic bk.) 、 9783319546209 (paper)
- FIND@SFXID: CGU
- 資料類型: 電子書
- 內容註: Introduction -- Background -- Clustering PPI Networks -- Functional Summarization -- Multi-faceted Functional Decomposition -- Differential Functional Summarization -- The Road Ahead.
- 摘要註: 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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讀者標籤:
- 系統號: 005389631 | 機讀編目格式
館藏資訊
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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