Phylogeny of SARS-CoV based on high-dimensional information geometry
文献类型：期刊论文
| 作者 | Wang SJ (Wang Shoujue) ; Mo R (Mo Rui) ; Cao WM (Cao Wenming) |
| 刊名 | chinese journal of electronics
 |
| 出版日期 | 2006 |
| 卷号 | 15期号:4a页码:911-914 |
| 关键词 | severs acute respivatory syndrome (SARS)-associated Coronavirus (SARS-CoV) coronavirus phylogeny k-tuple high-dimensional information geometry BIOMIMETIC PATTERN-RECOGNITION ACUTE-RESPIRATORY-SYNDROME NEURAL-NETWORKS CORONAVIRUS SEQUENCE |
| ISSN号 | 1022-4653 |
| 通讯作者 | wang, sj, chinese acad sci, inst semicond, artificial neural networks lab, beijing 100083, peoples r china. |
| 中文摘要 | we proposed a novel methodology, which firstly, extracting features from species' complete genome data, using k-tuple, followed by studying the evolutionary relationship between sars-cov and other coronavirus species using the method, called "high-dimensional information geometry". we also used the mothod, namely "caculating of minimum spanning tree", to construct the phyligenetic tree of the coronavirus. from construction of the unrooted phylogenetic tree, we found out that the evolution distance between sars-cov and other coronavirus species is comparatively far. the tree accurately rebuilt the three groups of other coronavirus. we also validated the assertion from other literatures that sars-cov is similar to the coronavirus species in group i. |
| 学科主题 | 人工智能 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 公开日期 | 2010-04-11 |
| 源URL | [http://ir.semi.ac.cn/handle/172111/10300]  |
| 专题 | 半导体研究所_中国科学院半导体研究所（2009年前） |
| 推荐引用方式 GB/T 7714 | Wang SJ ,Mo R ,Cao WM . Phylogeny of SARS-CoV based on high-dimensional information geometry[J]. chinese journal of electronics,2006,15(4a):911-914. |
| APA | Wang SJ ,Mo R ,&Cao WM .(2006).Phylogeny of SARS-CoV based on high-dimensional information geometry.chinese journal of electronics,15(4a),911-914. |
| MLA | Wang SJ ,et al."Phylogeny of SARS-CoV based on high-dimensional information geometry".chinese journal of electronics 15.4a(2006):911-914. |
入库方式： OAI收割
来源：半导体研究所
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