Batch effects correction for microbiome data with Dirichletâmultinomial regression
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DOI: 10.1093/bioinformatics/bty729
Abstract: Motivation: Metagenomic sequencing techniques enable quantitative analyses of the microbiome. However, combining the microbial data from these experiments is challenging due to the variations between experiments. The existing methods for correcting batch effects do not… read more here.
Keywords: bdmma; multinomial regression; microbiome data; batch ... See more keywords