TaxaNorm
2.4Feature-Wise Normalization for Microbiome Sequencing Data
Overview
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.
Install
Health
- ERROR r-oldrel-macos-arm64
- ERROR r-oldrel-macos-x86_64
- ERROR r-release-windows-x86_64
- ERROR2026-03-108 OK · 0 NOTE · 0 WARNING · 6 ERROR · 0 FAILURE
Documentation
- Examples that run
- 50%
- Documented parameters
- 100%
- Return-value docs
- 71%
- References docs
- 0%
Downloads
Repository
Repository practices
3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/wangziyue57/taxanorm on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 2.4Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2023-12-12
- Total releases
- 1 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 515 KB / 2 files
- Download size
- 581 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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Run in R for the authors' preferred citation:
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