Multi-omic integration of microbiome data for identifying disease-associated modules
Efrat Muller, Itamar Shiryan, Elhanan Borenstein
This paper introduces MintTea, a method for integrating multi-omic microbiome data to identify disease-associated modules, demonstrating its effectiveness across multiple datasets.
Nature Communications · Mar 23, 2024Peer-reviewedBioinformatics