https://www.selleckchem.com/pr....oducts/ly2584702.htm
SUMMARY Power analysis is essential to decide the sample size of metagenomic sequencing experiments in a case-control study for identifying differentially abundant microbes. However, the complexity of microbial data characteristics such as excessive zeros, over-dispersion, compositionality, intrinsically microbial correlations and variable sequencing depths makes the power analysis particularly challenging because the analytical form is usually unavailable. Here, we develop a simulation-based power assessment strategy and R package po
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