TaxaNorm: Feature-Wise Normalization for Microbiome Sequencing Data
A novel feature-wise normalization method based on a zero-inflated negative binomial model. This method assumes that the effects of sequencing depth vary for each taxon on their mean and also incorporates a rational link of zero probability and taxon dispersion as a function of sequencing depth. Ziyue Wang, Dillon Lloyd, Shanshan Zhao, Alison Motsinger-Reif (2023) <doi:10.1101/2023.10.31.563648>.
| Version: | 2.4 |
| Depends: | R (≥ 4.0.0),microbiome |
| Imports: | phyloseq, stats,S4Vectors,BiocGenerics,vegan, methods,MASS,future,future.apply,matrixStats,pscl,parallelly,ggplot2, utils |
| Suggests: | rmarkdown,knitr |
| Published: | 2023-12-12 |
| DOI: | 10.32614/CRAN.package.TaxaNorm |
| Author: | Ziyue Wang [aut], Dillon Lloyd [aut, cre, cph], Shanshan Zhao [aut, ctb], Alison Motsinger-Reif [aut, ctb] |
| Maintainer: | Dillon Lloyd <dtlloyd at ncsu.edu> |
| BugReports: | https://github.com/wangziyue57/TaxaNorm/issues |
| License: | GPL-3 |
| URL: | https://github.com/wangziyue57/TaxaNorm |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | TaxaNorm results |
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