MMETHANE: interpretable AI for predicting host status from microbial composition and metabolomics data
MMETHANE is an open-source software package that brings state-of-the-art interpretable AI technologies to the microbiome field, emphasizing usability with simple written explanations of its decisions and biologically relevant visualizations. This robust and accurate tool enables investigation of the interplay between microbes, metabolites, and the host, which is critical for understanding the mechanisms of host-microbial interactions and ultimately improving the diagnosis and treatment of human diseases impacted by the microbiome. Video Abstract.
Authors
- Georg K. Gerber (ORCID: https://orcid.org/0000-0002-9149-5509)
- Jennifer J. Dawkins
Institutions
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Harvard–MIT Division of Health Sciences and Technology (US)
Publication Details
- Journal
- Microbiome
- Published
- 2025-12-08
- DOI
- https://doi.org/10.1186/s40168-025-02270-z
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00