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Global Network Alignment Method Using Node Similarity Based on Network Characteristics
https://ipsj.ixsq.nii.ac.jp/records/91490
https://ipsj.ixsq.nii.ac.jp/records/91490dad8ea86-5142-44a3-ada8-fab8dad1d7a0
| 名前 / ファイル | ライセンス | アクション |
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IPSJ-TBIO0600002.pdf (368.7 kB)
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Copyright (c) 2013 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Trans(1) | |||||||
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| 公開日 | 2013-03-25 | |||||||
| タイトル | ||||||||
| タイトル | Global Network Alignment Method Using Node Similarity Based on Network Characteristics | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | Global Network Alignment Method Using Node Similarity Based on Network Characteristics | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | [Original Paper] global network alignment, network characteristics, node similarity | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||
| 資源タイプ | journal article | |||||||
| 著者所属 | ||||||||
| Graduate School of Engineering and Science, University of the Ryukyus | ||||||||
| 著者所属 | ||||||||
| Faculty of Information Engineering, University of the Ryukyus | ||||||||
| 著者所属 | ||||||||
| Faculty of Information Engineering, University of the Ryukyus | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Graduate School of Engineering and Science, University of the Ryukyus | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Faculty of Information Engineering, University of the Ryukyus | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Faculty of Information Engineering, University of the Ryukyus | ||||||||
| 著者名 |
Hitoshi, Afuso
Takeo, Okazaki
Morikazu, Nakamura
× Hitoshi, Afuso Takeo, Okazaki Morikazu, Nakamura
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| 著者名(英) |
Hitoshi, Afuso
Takeo, Okazaki
Morikazu, Nakamura
× Hitoshi, Afuso Takeo, Okazaki Morikazu, Nakamura
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Various methods to compare given biological networks have been proposed to date. For an instance, MI-GRAAL[8] is one of such popular methods. However, the method uses only local structural information to calculate a similarity among nodes. Owing to this limitation, the resulted alignment may not reflect the global features of the given networks. In social network analysis certain measurements, so-called network characteristics are used to capture some features of nodes in graphs. And some of these reflect global features of nodes in networks. In this paper, we proposed a network alignment method using a node similarity based on network characteristics so that resulted alignment would reflect the global structural features more than the traditional method. We compared our proposed method with traditional network alignment method, MI-GRAAL, to demonstrate the effectiveness of our proposal. The experiment was carried out through protein-protein interactions (PPI) networks of yeast and human. The results showed that proposed method led to better alignment in view of topological quality than MI-GRAAL. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Various methods to compare given biological networks have been proposed to date. For an instance, MI-GRAAL[8] is one of such popular methods. However, the method uses only local structural information to calculate a similarity among nodes. Owing to this limitation, the resulted alignment may not reflect the global features of the given networks. In social network analysis certain measurements, so-called network characteristics are used to capture some features of nodes in graphs. And some of these reflect global features of nodes in networks. In this paper, we proposed a network alignment method using a node similarity based on network characteristics so that resulted alignment would reflect the global structural features more than the traditional method. We compared our proposed method with traditional network alignment method, MI-GRAAL, to demonstrate the effectiveness of our proposal. The experiment was carried out through protein-protein interactions (PPI) networks of yeast and human. The results showed that proposed method led to better alignment in view of topological quality than MI-GRAAL. | |||||||
| 書誌レコードID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AA12177013 | |||||||
| 書誌情報 |
IPSJ Transactions on Bioinformatics（TBIO） 巻 6, p. 2-8, 発行日 2013-03-25 |
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| ISSN | ||||||||
| 収録物識別子タイプ | ISSN | |||||||
| 収録物識別子 | 1882-6679 | |||||||
| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
