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.

Afiliación

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 en En | MEDLINE | ID: mdl-35296232

Asunto(s)

Algoritmos; Bacterias/clasificación; Biología Computacional; ARN Ribosómico 16S; Teorema de Bayes; Biología Computacional/métodos; Genes de ARNr; Humanos; ARN Ribosómico 16S/genética

Palabras clave

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

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bacterias / Algoritmos / ARN Ribosómico 16S / Biología Computacional Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: China

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