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HerGePred: Heterogeneous Network Embedding Representation for Disease Gene Prediction., , , , , , , , , и . IEEE J. Biomed. Health Informatics, 23 (4): 1805-1815 (2019)Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks., , , , , , и . J. Am. Medical Informatics Assoc., 23 (2): 356-365 (2016)An analysis of human microbe-disease associations., , , , , , , , , и . Briefings Bioinform., 18 (1): 85-97 (2017)Development of large-scale TCM corpus using hybrid named entity recognition methods for clinical phenotype detection: An initial study., , , , , и . CIBD, стр. 84-90. IEEE, (2014)Disease phenotype synonymous prediction through network representation learning from PubMed database., , , , , , , и . Artif. Intell. Medicine, (2020)SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping., , , , , , , , , и 3 other автор(ы). Nucleic Acids Res., 47 (Database-Issue): D1110-D1117 (2019)Text mining for traditional Chinese medical knowledge discovery: A survey., , и . J. Biomed. Informatics, 43 (4): 650-660 (2010)A novel approach in discovering significant interactions from TCM patient prescription data., , , , , , , , , и 1 other автор(ы). Int. J. Data Min. Bioinform., 5 (4): 353-368 (2011)Knowledge discovery in traditional Chinese medicine: State of the art and perspectives., , , , и . Artif. Intell. Medicine, 38 (3): 219-236 (2006)Regularity of herbal formulae for HIV/AIDS patients with syndromes based on complex networks., , , , , , , , , и 5 other автор(ы). CIBD, стр. 77-83. IEEE, (2014)