In recent years, analysis methods of microbiome data are developing rapidly, and many methods for the microbial compositional data which uses the 16S ribosomal RNA gene (16S rRNA data) are proposed. But, methods of association analysis for longitudinally measured 16S rRNA data are not studied well. Latent dirichlet allocation model (LDA) which is used mainly in natural language processing and has
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