Batch effects correction for microbiome data with Dirichlet-multinomial regression
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DOI: 10.1093/bioinformatics/bty874
Abstract: 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 consider… read more here.
Keywords: correction microbiome; data dirichlet; microbiome data; effects correction ... See more keywords