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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… Click to show full 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 the interactions between variables—microbial taxa in microbial studies—and the overdispersion of the microbiome data. Therefore, they are not applicable to microbiome data.
Keywords:
correction microbiome;
data dirichlet;
microbiome data;
effects correction;
batch effects
Journal Title: Bioinformatics
Year Published: 2019
Link to full text (if available)
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Journal Title: Bioinformatics
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!