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
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:

Reference manual:	TaxaNorm.pdf
Vignettes:	TaxNorm Introduction

Downloads:

Package source:	TaxaNorm_2.4.tar.gz
Windows binaries:	r-devel: TaxaNorm_2.4.zip, r-release: TaxaNorm_2.4.zip, r-oldrel: TaxaNorm_2.4.zip
macOS binaries:	r-release (arm64): TaxaNorm_2.4.tgz, r-oldrel (arm64): not available, r-release (x86_64): TaxaNorm_2.4.tgz, r-oldrel (x86_64): not available

Linking:

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