VBayesMM is designed for analyzing microbiome data.
It uses a Bayesian neural network framework.
The tool improves prediction accuracy in multiomics analysis.
It has shown lower SMAPE values compared to existing models.
The model identifies significant microbial families influencing metabolite variations.
It offers a scalable and reproducible tool for researchers.
Further refinements are needed for efficiency on unbalanced datasets.
Newsletters
Receive the latest pathologist news, personalities, education, and career development – weekly to your inbox.
