Single-cell co-expression analysis using computational machine learning reveals oxidative, immunopathologic, and myocardial responses for multi-organ failure in COVID-19.

Zhang, Cheng; Wang, Ning; Chen, Guoming; Tang, Guoyi; Tam, Chiwing; Tan, Hor-Yue; Xu, Xiaoyu; Feng, Yibin

Zhang, Cheng; Wang, Ning; Chen, Guoming; Tang, Guoyi; Tam, Chiwing; Tan, Hor-Yue; Xu, Xiaoyu; Feng, Yibin.

Afiliación

Zhang C; School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Wang N; School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Chen G; School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Tang G; School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Tam C; School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Tan HY; School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Xu X; School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China.
Feng Y; School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

Clin Transl Med ; 12(10): e1049, 2022 10.

Article en En | MEDLINE | ID: mdl-36204979

Asunto(s)

COVID-19; Humanos; Aprendizaje Automático; Insuficiencia Multiorgánica; Estrés Oxidativo

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans Idioma: En Revista: Clin Transl Med Año: 2022 Tipo del documento: Article País de afiliación: China

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