wdl2459/ConQuR: Batch Effects Removal for Microbiome Data in Large-Scale Epidemiology Studies via Conditional Quantile Regression
This package conducts batch effects removal from a taxa read count table by a conditional quantile regression method. The distributional attributes of microbiome data - zero-inflation and over-dispersion, are simultaneously considered.
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Package details |
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| Author | Wodan Ling and Michael C. Wu |
| Maintainer | Wodan Ling <wling@fredhutch.org> |
| License | GPL-3.0 |
| Version | 2.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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