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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=TaxaNorm to link to this page.
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