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 |
Documentation:
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