Antoine Bodein

This paper benchmarks nineteen methods for integrating metagenomics and metabolomics data, identifies top-performing approaches, and provides guidelines for their application.

The paper presents a framework for integrating longitudinal multi-omics data to detect temporal relationships and interactions between omics layers, applied to cell cycle and aphid feeding studies.

The paper introduces a framework for integrating microbiome longitudinal data with other data types to analyze relationships and associations across different biological and clinical variables.