Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining

Xian-jun Fu; Zhen-guo Wang; Yi Qu; Peng Wang; Yang Zhou; Hua-yun Yu

doi:10.1007/s11655-013-1562-z

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Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining

Updated：2021-08-27

- Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining
- Chinese Journal of Integrative Medicine Vol. 19, Issue 9, Pages: 663-667(2013)
- Affiliations：
  
  1. School of Information Management, Shandong University of Traditional Chinese Medicine,Jinan,China
  2. Mobile Postdoctoral Stations of Traditional Chinese Medical Science, Shandong University of Traditional Chinese Medicine,Jinan,China
  3. Eye Institute of Shandong University of Traditional Chinese Medicine,Jinan,China
- Author bio：
- Funds：
  
  Supported by the Major State Basic Research Development Program of China (973 Program, No. 2007CB512601), National High Technology Research and Development Program of China (863 Program, No. 2013AA093001), the Ph.D. Programs Foundation of Ministry of Education of China (No. 20123731120001), Postdoctoral Innovation Funds of Shandong Province (No. 201102036), and the Construction Program of Shandong Province University Scientific Innovation Team
- DOI：10.1007/s11655-013-1562-z
  CLC：
- Published：2013，
  
  Published Online：24 August 2013，
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Fu, Xj., Wang, Zg., Qu, Y. et al. Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining., Chin. J. Integr. Med. 19, 663–667 (2013). https://doi.org/10.1007/s11655-013-1562-z

Xian-jun Fu, Zhen-guo Wang, Yi Qu, et al. Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining. [J]. Chinese Journal of Integrative Medicine 19(9):663-667(2013)
Fu, Xj., Wang, Zg., Qu, Y. et al. Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining., Chin. J. Integr. Med. 19, 663–667 (2013). https://doi.org/10.1007/s11655-013-1562-z DOI：

Xian-jun Fu, Zhen-guo Wang, Yi Qu, et al. Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining. [J]. Chinese Journal of Integrative Medicine 19(9):663-667(2013) DOI： 10.1007/s11655-013-1562-z.

摘要

To explore appropriate methods for the research of the theory of Chinese medicine nature property and find the relationship between Nature-Family-Component of Chinese herbs. From perspective of systems biology

we used Associate Network to identify useful relationships among “Nature-Family-Component” of Herbs. In this work

Associate Network combines association rules mining method and network construction method to evaluate the complicate relationship among “Nature-Family-Component” of herbs screened. The results of association rules mining showed that the families had a close relationship with nature properties of herbs. For example

the families of Magnoliaceae

Araceae had a close relationship with hot nature with confidence of 100%

the families of Cucurbitaceae has a close relationship to cold nature with confidence of 90.91%. Moreover

the results of constructed Associate Network implied that herbs belonging to the same families generally had the same natures. In addition

some herbs belonging to different families may also have same natures when they contain the same main components. These results implied that the main components of herbs might affect their natures; the relationships between families and natures were based on the main compounds of herbs.

Abstract

we used Associate Network to identify useful relationships among “Nature-Family-Component” of Herbs. In this work

the families of Magnoliaceae

Araceae had a close relationship with hot nature with confidence of 100%

the families of Cucurbitaceae has a close relationship to cold nature with confidence of 90.91%. Moreover

the results of constructed Associate Network implied that herbs belonging to the same families generally had the same natures. In addition

关键词

Associate NetworkNature-Family-ComponentChinese medicinal herbs

Keywords

Associate NetworkNature-Family-ComponentChinese medicinal herbs

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