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Identification of Transcriptome Biomarkers for Severe COVID-19 with Machine Learning Methods.
Li, Xiaohong; Zhou, Xianchao; Ding, Shijian; Chen, Lei; Feng, Kaiyan; Li, Hao; Huang, Tao; Cai, Yu-Dong.
Afiliação
  • Li X; School of Biological and Food Engineering, Jilin Engineering Normal University, Changchun 130052, China.
  • Zhou X; Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
  • Ding S; School of Life Sciences, Shanghai University, Shanghai 200444, China.
  • Chen L; College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China.
  • Feng K; Department of Computer Science, Guangdong AIB Polytechnic College, Guangzhou 510507, China.
  • Li H; School of Biological and Food Engineering, Jilin Engineering Normal University, Changchun 130052, China.
  • Huang T; Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Shanghai 200031, China.
  • Cai YD; CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Shanghai 200031, China.
Biomolecules ; 12(12)2022 11 23.
Article em En | MEDLINE | ID: mdl-36551164

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Biomolecules Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Biomolecules Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça