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Random Matrix Analysis for Gene Interaction Networks in Cancer Cells
https://oist.repo.nii.ac.jp/records/885
https://oist.repo.nii.ac.jp/records/885d52eb600-240f-4f2c-9412-a858759cd500
名前 / ファイル | ライセンス | アクション |
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s41598-018-28954-1 (3.4 MB)
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Creative Commons Attribution 4.0 International
(http://creativecommons.org/licenses/by/4.0/) |
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2019-05-21 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Random Matrix Analysis for Gene Interaction Networks in Cancer Cells | |||||
言語 | ||||||
言語 | eng | |||||
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(英) |
Kikkawa, Ayumi
× Kikkawa, Ayumi |
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書誌情報 |
en : Scientific Reports 巻 8, p. 10607, 発行日 2018-07-13 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Investigations of topological uniqueness of gene interaction networks in cancer cells are essential for understanding the disease. Although cancer is considered to originate from the topological alteration of a huge molecular interaction network in cellular systems, the theoretical study to investigate such complex networks is still insufficient. It is necessary to predict the behavior of a huge complex interaction network from the behavior of a finite size network. Based on the random matrix theory, we study the distribution of the nearest neighbor level spacings P(s) of interaction matrices of gene networks in human cancer cells. The interaction matrices are computed using the Cancer Network Galaxy (TCNG) database which is a repository of gene interactions inferred by a Bayesian network model. 256 NCBI GEO entries regarding gene expressions in human cancer cells have been used for the inference. We observe the Wigner distribution of P(s) when the gene networks are dense networks that have more than ~38,000 edges. In the opposite case, when the networks have smaller numbers of edges, the distribution P(s) becomes the Poisson distribution. We investigate relevance of P(s) both to the sparseness of the networks and to edge frequency factor which is the reliance (likelihood) of the inferred gene interactions. | |||||
出版者 | ||||||
出版者 | Nature Research | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 2045-2322 | |||||
PubMed番号 | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | PMID | |||||
関連識別子 | info:pmid/30006574 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1038/s41598-018-28954-1 | |||||
権利 | ||||||
権利情報 | © 2018 The Author(s). | |||||
情報源 | ||||||
関連名称 | http://creativecommons.org/licenses/by/4.0/ | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://www.nature.com/articles/s41598-018-28954-1 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |