文献
J-GLOBAL ID:202202276354749674
整理番号:22A1038620
Rベース計算機械学習を用いた空間トランスクリプトーム解析は漢方薬理論におけるYangまたはYin欠乏症候群の遺伝的プロファイルを明らかにする【JST・京大機械翻訳】
Spatial Transcriptomic Analysis Using R-Based Computational Machine Learning Reveals the Genetic Profile of Yang or Yin Deficiency Syndrome in Chinese Medicine Theory
著者 (6件):
Zhang Cheng
(School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China)
,
Tam Chi wing
(School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China)
,
Tang Guoyi
(School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China)
,
Chen Yuanyuan
(School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China)
,
Wang Ning
(School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China)
,
Feng Yibin
(School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China)
資料名:
Evidence-Based Complementary and Alternative Medicine (Web)
(Evidence-Based Complementary and Alternative Medicine (Web))
巻:
2022
ページ:
Null
発行年:
2022年
JST資料番号:
U7703A
ISSN:
1741-427X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)