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Article: Spatial Transcriptomic Analysis Using R-Based Computational Machine Learning Reveals the Genetic Profile of Yang or Yin Deficiency Syndrome in Chinese Medicine Theory

TitleSpatial Transcriptomic Analysis Using R-Based Computational Machine Learning Reveals the Genetic Profile of Yang or Yin Deficiency Syndrome in Chinese Medicine Theory
Authors
Issue Date2022
Citation
Evidence-Based Complementary and Alternative Medicine, 2022, v. 2022, p. 1-13 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/312351

 

DC FieldValueLanguage
dc.contributor.authorZhang, C-
dc.contributor.authorTAM, CW-
dc.contributor.authorTANG, G-
dc.contributor.authorChen, Y-
dc.contributor.authorWang, N-
dc.contributor.authorFeng, Y-
dc.date.accessioned2022-04-25T01:38:33Z-
dc.date.available2022-04-25T01:38:33Z-
dc.date.issued2022-
dc.identifier.citationEvidence-Based Complementary and Alternative Medicine, 2022, v. 2022, p. 1-13-
dc.identifier.urihttp://hdl.handle.net/10722/312351-
dc.languageeng-
dc.relation.ispartofEvidence-Based Complementary and Alternative Medicine-
dc.titleSpatial Transcriptomic Analysis Using R-Based Computational Machine Learning Reveals the Genetic Profile of Yang or Yin Deficiency Syndrome in Chinese Medicine Theory-
dc.typeArticle-
dc.identifier.emailZhang, C: zttzc@hku.hk-
dc.identifier.emailWang, N: ckwang@hku.hk-
dc.identifier.emailFeng, Y: yfeng@hku.hk-
dc.identifier.authorityWang, N=rp02075-
dc.identifier.authorityFeng, Y=rp00466-
dc.identifier.doi10.1155/2022/5503181-
dc.identifier.hkuros332709-
dc.identifier.volume2022-
dc.identifier.spage1-
dc.identifier.epage13-

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