Use Text Mining and Complex Networks to Analyze TCM Syndromes

Objective: To make intrinsic biological distinctions between qi deficiency pattern and qi stagnation pattern with genes related to NEI. Methods: Establish a data dictionary of NEI-related genes and a keyword lexicon of qi deficiency pattern and qi stagnation pattern. Then retrieve relevant literature on Pubmed database. Obtain compositions of characteristic NEI-related genes of qi deficiency pattern and qi stagnation pattern by using text-mining methodto explore different bioactive materials between the two syndromes. Results: Two kinds of syndromes and their biological networks were constructed. The "qi deficiency" and "qi stagnation" genes based on NEI network were excavated. Conclusion: The genes of qi stagnation pattern relate closely with nerve and endocrine, while those of qi deficiency pattern have a close relationship with the immune system. The intrinsic biological characterizations of TCM patterns can be effectively identified at the level of NEI.

• Publication year

  2017

• Venue

  Unknown venue

• Publication date

  2017-05-01

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.2991/bbe-17.2017.78
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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