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MicrobiomeStat: Statistical Methods for Microbiome Compositional Data
A suite of methods for powerful and robust microbiome data analysis addressing zero-inflation, phylogenetic structure and compositional effects. Includes the LinDA method for differential abundance analysis (Zhou et al. (2022)<doi:10.1186/s13059-022-02655-5>), the BMDD (Bimodal Dirichlet Distribution) method for accurate modeling and imputation of zero-inflated microbiome sequencing data (Zhou et al. (2025)<doi:10.1371/journal.pcbi.1013124>) and compositional sparse CCA methods for microbiome multi-omics data integration (Deng et al. (2024) <doi: 10.3389/fgene.2024.1489694>).
Getting started
Browse package contents
Package details |
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| Author | Xianyang Zhang [aut], Jun Chen [aut, cre], Huijuan Zhou [ctb], Linsui Deng [ctb] |
| Maintainer | Jun Chen <chen.jun2@mayo.edu> |
| License | GPL-3 |
| Version | 1.3 |
| Package repository | View on CRAN |
| Installation |
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