Metagenomic Analysis of Common Intestinal Diseases Reveals Relationships among Microbial Signatures and Powers Multidisease Diagnostic Models.

Jiang, Puzi; Wu, Sicheng; Luo, Qibin; Zhao, Xing-Ming; Chen, Wei-Hua

Jiang, Puzi; Wu, Sicheng; Luo, Qibin; Zhao, Xing-Ming; Chen, Wei-Hua.

Afiliação

Jiang P; Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and
Wu S; Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and
Luo Q; Department of Genome Oriented Bioinformatics, Technische Universität München, Wissenschaftszentrum Weihenstephan, Freising, Germany.
Zhao XM; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China xmzhao@fudan.edu.cn weihuachen@hust.edu.cn.
Chen WH; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, China.

mSystems ; 6(3)2021 May 04.

Article em En | MEDLINE | ID: mdl-33947803

Palavras-chave

gut dysbiosis; human microbiome; intestinal disease; machine learning-based disease classification; noninvasive disease diagnosis

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: MSystems Ano de publicação: 2021 Tipo de documento: Article

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