Publications by authors named "Renato Giliberti"
PLoS Comput Biol
April 2022
Article Synopsis
- Machine learning techniques are commonly used to classify host phenotypes based on microbiome data, focusing on operational taxonomic units and relative abundance profiles.
- This research emphasizes that the presence of specific microbial taxa, rather than their abundances, is more relevant for effective classification.
- A comprehensive analysis of over 4,100 metagenomes shows that these findings hold true across different classification models and are supported by additional 16S rRNA data from public case-control studies.
