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Large-Scale Meta-Longitudinal Microbiome Data with a Known Batch Factor
2022
Genes
Data contamination in meta-approaches where multiple biological samples are combined considerably affects the results of subsequent downstream analyses, such as differential abundance tests comparing multiple groups at a fixed time point. Little has been thoroughly investigated regarding the impact of the lurking variable of various batch sources, such as different days or different laboratories, in more complicated time series experimental designs, for instance, repeatedly measured
doi:10.3390/genes13030392
pmid:35327945
pmcid:PMC8953633
fatcat:o4lypft57fgkffsj6qvv56vk6m