Bayesian Hierarchical Modelling for Antimicrobial Resistance

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.