GBDR: a Bayesian model for precise prediction of pathogenic microorganisms using 16S rRNA gene sequences.

Huang, Yu-An; Huang, Zhi-An; Li, Jian-Qiang; You, Zhu-Hong; Wang, Lei; Yi, Hai-Cheng; Yu, Chang-Qing

Huang, Yu-An; Huang, Zhi-An; Li, Jian-Qiang; You, Zhu-Hong; Wang, Lei; Yi, Hai-Cheng; Yu, Chang-Qing.

Afiliação

Huang YA; Department of Information Engineering, Xijing University, Xi'an, 710123, China. yahuang1991@gmail.com.
Huang ZA; Center for Computer Science and Information Technology, City University of Hong Kong Dongguan Research Institute, Dongguan, China.
Li JQ; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518000, China. lijq@szu.edu.cn.
You ZH; Department of Information Engineering, Xijing University, Xi'an, 710123, China.
Wang L; Guangxi Academy of Science, Nanning, 530000, China.
Yi HC; Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Ürümqi, 830000, China.
Yu CQ; Department of Information Engineering, Xijing University, Xi'an, 710123, China.

BMC Genomics ; 22(Suppl 1): 916, 2022 Mar 16.

Article em En | MEDLINE | ID: mdl-35296232

Assuntos

Algoritmos; Bactérias/classificação; Biologia Computacional; RNA Ribossômico 16S; Teorema de Bayes; Biologia Computacional/métodos; Genes de RNAr; Humanos; RNA Ribossômico 16S/genética

Palavras-chave

16S rRNA sequence analysis; Bayesian ranking; Computational prediction model; Microbe-disease association network; Pathogenic microorganisms

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Algoritmos / RNA Ribossômico 16S / Biologia Computacional Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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