microbiomeMarker
Bioc removedmicrobiome biomarker analysis toolkit
Release Lineage
Entered 3.14 · Oct 27, 2021
Removed after 3.20 · Oct 30, 2024
Description
To date, a number of methods have been developed for microbiome marker discovery based on metagenomic profiles, e.g. LEfSe. However, all of these methods have its own advantages and disadvantages, and none of them is considered standard or universal. Moreover, different programs or softwares may be development using different programming languages, even in different operating systems. Here, we have developed an all-in-one R package microbiomeMarker that integrates commonly used differential analysis methods as well as three machine learning-based approaches, including Logistic regression, Random forest, and Support vector machine, to facilitate the identification of microbiome markers.
None published for Bioconductor
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- Yang Cao author maintainer
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