Identifying Potential Gene Defect Patterns Related to COVID-19 Based on Pharmacological and Bioinformatics Analysis for Lung Adenocarcinoma.

Lou, Hongqiang; Li, Xusheng; Gao, Suhua; Zhang, Yanfang; Chen, Haohao; Zhai, Xia

Lou, Hongqiang; Li, Xusheng; Gao, Suhua; Zhang, Yanfang; Chen, Haohao; Zhai, Xia.

Afiliação

Lou H; Medical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua City, Zhejiang Province, 330700, People's Republic of China.
Li X; Medical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua City, Zhejiang Province, 330700, People's Republic of China.
Gao S; Medical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua City, Zhejiang Province, 330700, People's Republic of China.
Zhang Y; Medical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua City, Zhejiang Province, 330700, People's Republic of China.
Chen H; Medical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua City, Zhejiang Province, 330700, People's Republic of China.
Zhai X; Medical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua City, Zhejiang Province, 330700, People's Republic of China.

Int J Gen Med ; 15: 4285-4301, 2022.

Article em En | MEDLINE | ID: mdl-35480999

Palavras-chave

COVID-19; drug targets; lung adenocarcinoma; molecular subtypes; traditional Chinese medicine; tumor microenvironment

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Gen Med Ano de publicação: 2022 Tipo de documento: Article

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