CASIA OpenIR  > 09年以前成果
An unsupervised partition method based on association delineated revised mutual information
Chen, Jing; Xi, Guangcheng
Source PublicationBMC BIOINFORMATICS
2009-01-30
Volume10
SubtypeArticle
AbstractBackground: The syndrome is the basic pathological unit and the key concept in traditional Chinese medicine (TCM) and the herbal remedy is prescribed according to the syndrome a patient catches. Nevertheless, few studies are dedicated to investigate the number of syndromes and what these syndromes are. Correlative measure based on mutual information can measure arbitrary statistical dependences between discrete and continuous variables.
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordTRADITIONAL CHINESE MEDICINE ; NETWORK
Indexed BySCI
Language英语
WOS Research AreaBiochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology
WOS SubjectBiochemical Research Methods ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology
WOS IDWOS:000265601900063
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10753
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 086100190, Peoples R China
Recommended Citation
GB/T 7714
Chen, Jing,Xi, Guangcheng. An unsupervised partition method based on association delineated revised mutual information[J]. BMC BIOINFORMATICS,2009,10.
APA Chen, Jing,&Xi, Guangcheng.(2009).An unsupervised partition method based on association delineated revised mutual information.BMC BIOINFORMATICS,10.
MLA Chen, Jing,et al."An unsupervised partition method based on association delineated revised mutual information".BMC BIOINFORMATICS 10(2009).
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