MegaR: an interactive R package for rapid sample classification and phenotype prediction using metagenome profiles and machine learning

摘要

Illustration of MegaR flowchart. MegaR takes any taxonomy profiles from 16S rRNA and shotgun metagenomic data. After selecting taxonomic features, machine learning method, and multiple options, the user can train a model. Cross validation is supported before predicting unknown samples