中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Viruses' complete genomes classification based on geometrical learning

文献类型:期刊论文

作者Cao WM (Cao Wenming) ; Ding LJ (Ding Lijun)
刊名chinese journal of electronics
出版日期2006
卷号15期号:4a页码:826-828
ISSN号1022-4653
关键词complete genomes sequences features classification geometrcal learning
通讯作者cao, wm, shenzhen univ, key lab intelligent informat proc, shenzhen 518060, peoples r china.
中文摘要in this paper, we proposed a method of classification for viruses' complete genomes based on graph geometrical theory in order to viruses classification. firstly, a model of triangular geometrical graph was put forward, and then constructed feature-space-samples-graphs for classes of viruses' complete genomes in feature space after feature extraction and normalization. finally, we studied an algorithm for classification of viruses' complete genomes based on feature-space-samples-graphs. compared with the blast algorithm, experiments prove its efficiency.
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/172111/10286]  
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
Cao WM ,Ding LJ . Viruses' complete genomes classification based on geometrical learning[J]. chinese journal of electronics,2006,15(4a):826-828.
APA Cao WM ,&Ding LJ .(2006).Viruses' complete genomes classification based on geometrical learning.chinese journal of electronics,15(4a),826-828.
MLA Cao WM ,et al."Viruses' complete genomes classification based on geometrical learning".chinese journal of electronics 15.4a(2006):826-828.

入库方式: OAI收割

来源:半导体研究所

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