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Code and Data in manuscript: A comprehensive evaluation of microbial differential abundance analysis methods: current status and potential solutions

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Code and data for simulation and realdata analysis for publication: Yang, L., Chen, J. A comprehensive evaluation of microbial differential abundance analysis methods: current status and potential solutions. Microbiome 10, 130 (2022). https://doi.org/10.1186/s40168-022-01320-0

If you are interested in semi-parametric simulation for microbiome data, please refer to function "SimulateMSeq" in our R package GUniFrac.

If you are interested in differential abundance analysis of microbiome data or other omics data, please refer to function "ZicoSeq" in our R package GUniFrac. ZicoSeq tutorial please see: https://cran.r-project.org/web/packages/GUniFrac/vignettes/ZicoSeq.html

Installation and application please see: https://cran.r-project.org/web/packages/GUniFrac/index.html

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Code and Data in manuscript: A comprehensive evaluation of microbial differential abundance analysis methods: current status and potential solutions

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