Drug resistance prediction and resistance genes identification in Mycobacterium tuberculosis based on a hierarchical attentive neural network utilizing genome-wide variants.

Jiang, Zhonghua; Lu, Yongmei; Liu, Zhuochong; Wu, Wei; Xu, Xinyi; Dinnyés, András; Yu, Zhonghua; Chen, Li; Sun, Qun

Jiang, Zhonghua; Lu, Yongmei; Liu, Zhuochong; Wu, Wei; Xu, Xinyi; Dinnyés, András; Yu, Zhonghua; Chen, Li; Sun, Qun.

Afiliação

Jiang Z; Key Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China.
Lu Y; College of Computer Science, Sichuan University, Chengdu, Sichuan 610065, China.
Liu Z; Key Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China.
Wu W; Key Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China.
Xu X; Key Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China.
Dinnyés A; BioTalentum Ltd. Aulich Lajos str. 26. 2100 Gödöllõ, Hungary.
Yu Z; College of Computer Science, Sichuan University, Chengdu, Sichuan 610065, China.
Chen L; College of Computer Science, Sichuan University, Chengdu, Sichuan 610065, China.
Sun Q; Key Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China.

Brief Bioinform ; 23(3)2022 05 13.

Article em En | MEDLINE | ID: mdl-35325021

Assuntos

Mycobacterium tuberculosis; Antituberculosos/farmacologia; Antituberculosos/uso terapêutico; Resistência a Medicamentos; Testes de Sensibilidade Microbiana; Mutação; Redes Neurais de Computação

Palavras-chave

Mycobacterium tuberculosis; deep learning; drug resistance prediction; hierarchical attention; natural language processing; phenotype prediction

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mycobacterium tuberculosis Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mycobacterium tuberculosis Idioma: En Ano de publicação: 2022 Tipo de documento: Article