A pathway-based network analysis of hypertension-related genes
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- 作者：Huan Wang<sup>asup><sup> ; sup><sup>bsup><sup> ; sup><sup>hwang227@126.com" class="auth_mail" title="E-mail the corresponding authorsup> ; Jing-Bo Hu<sup>bsup><sup> ; sup><sup>csup> ; Chuan-Yun Xu<sup>bsup> ; De-Hai Zhang<sup>dsup> ; Qian Yan<sup>esup> ; Ming Xu<sup>bsup><sup> ; sup><sup>fsup> ; Ke-Fei Cao<sup>bsup><sup> ; sup><sup>kfcao163@163.com" class="auth_mail" title="E-mail the corresponding authorsup> ; Xu-Sheng Zhang<sup>gsup><sup> ; sup><sup>hsup><sup> ; sup><sup>xu-sheng.zhang@phe.gov.uk" class="auth_mail" title="E-mail the corresponding authorsup>
- 关键词：Complex network ; Hypertension ; Hub gene ; Pathway ; Modular structure
- 刊名：Physica A: Statistical Mechanics and its Applications
- 出版年：2016
- 出版时间：15 February 2016
- 年：2016
- 卷：444
- 期：Complete
- 页码：928-939
- 全文大小：577 K
文摘
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A network of hypertension-related genes is proposed based on biological pathways.
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Statistical and topological characteristics of the gene network are analyzed.
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Seven key hub genes of hypertension are determined through integrated centrality.
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The modular structure analysis can facilitate the exploration of drug targets.
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The network approach provides another perspective to explore disease pathogenesis.
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