identify most variable bacteria within microbiome longitudinal data
Hello everyone,
I have a theoretical questions: which would be the best analysis to highlight which bacteria species have the greatest variability in relative abundance using longitudinal data? I have found several tutorial but nothing that identify (with a statistical significane) which are the bacteria species that change more their abundance across different samples on longitudinal data? I have a dataset with several replicates belonging to different time point, I would like to understand which are the species that have the deepest changes in their abundance across all the time points. Does anyone have any suggestions about? thanks
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