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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/10335

タイトル: Mining multiple biological data for reconstructing signal transduction networks
著者: Nguyen, Thanh-Phuong
Ho, Tu-Bao
キーワード: signal transduction network reconstruction
multiple biological data
発行日: 2012
出版者: Springer
巻: 25
開始ページ: 163
終了ページ: 185
DOI: 10.1007/978-3-642-23151-3_8
抄録: Signaling transduction networks (STNs) are the key means by which a cell converts an external signal (e.g. stimulus) into an appropriate cellular response (e.g. cellular rhythms of animals and plants). The essence of STN is underlain in some signaling features scattered in various data sources and biological components overlapping among STN. The integration of those signaling features presents a challenge. Most of previous works based on PPIs for STN did not take the signaling properties of signaling molecules and components overlapping among STN into account. This paper describes an effective computational method that can exploit three biological facts of STN applied to human: protein-protein interaction networks, signaling features and sharing components. To this end, we introduce a soft-clustering method for doing the task by exploiting integrated multiple data, especially signaling features, i.e., protein-protein interactions, signaling domains, domain-domain interactions, and protein functions. The gained results demonstrated that the method was promising to discover new STN and solve other related problems in computational and systems biology from large-scale protein interaction networks. Other interesting results of the early work on yeast STN are additionally presented to show the advantages of using signaling domain-domain interactions.
Rights: This is the author-created version of Springer, Thanh-Phuong Nguyen and Tu-Bao Ho, Data Mining: Foundations and Intelligent Paradigms, 25, 2012, pp.163-185. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-642-23151-3_8
URI: http://hdl.handle.net/10119/10335
資料タイプ: author
出現コレクション:a10-2. 図書 (Book, Book Chapter)

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