Bayesian Hierarchical Modelling for Antimicrobial Resistance

被引：1

作者：

Zhelyazkova, Maya ^{[1
]}

Yordanova, Roumyana ^{[2
,3
]}

Mihaylov, Iliyan ^{[1
]}

Kirov, Stefan ^{[4
]}

Tsonev, Stefan ^{[5
]}

Danko, David ^{[6
]}

Vassilev, Dimitar ^{[1
]}

机构：

[1] Sofia Univ St Kliment Ohridski, Fac Math & Informat, 5 James Bourchier Blvd, Sofia 1164, Bulgaria

[2] Hokkaido Univ, Sapporo, Hokkaido, Japan

[3] Bulgarian Acad Sci, Inst Math & Informat, Acad Georgi Bonchev Str,Block 8, Sofia, Bulgaria

[4] Bristol Myers Squibb, 311 Pennington Rocky Hill Rd, Pennington, NJ USA

[5] AgroBioInst, 8 Dragan Tsankov Blvd, Sofia 1164, Bulgaria

[6] Weill Cornell Med Coll, New York, NY USA

来源：

CONTEMPORARY METHODS IN BIOINFORMATICS AND BIOMEDICINE AND THEIR APPLICATIONS | 2022年 / 374卷

关键词：

Bayesian hierarchical spatial inference; Spatial correlations; Antimicrobial resistance; Metagenomics;

D O I：

10.1007/978-3-030-96638-6_9

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Antimicrobial resistance poses a serious health problem. Computational and statistical approaches have been developed for bacterial antimicrobial resistance discovery and classification. Next generation sequencing technologies allows us to analyze complex metagenomes and the presence of resistomes in them. In this work we apply Bayesian hierarchical spatial model to estimate the relative risk of antimicrobial resistance related taxa by using the available spatial information of the samples.

引用

页码：79 / 87

页数：9

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