Group-wise normalization (G-RLE and FTSS) improves statistical power and false discovery control in differential abundance analysis of microbiome samples, according to extensive simulations.
Compositional data analysis of the microbiome: fundamentals, tools, and challenges
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Group-wise normalization in differential abundance analysis of microbiome samples
Group-wise normalization (G-RLE and FTSS) improves statistical power and false discovery control in differential abundance analysis of microbiome samples, according to extensive simulations.