Yann Chevaleyre

MetagenBERT uses Transformer models to embed DNA reads for disease classification, achieving comparable performance to existing methods for cirrhosis and better results for type 2 diabetes.

The paper develops interpretable metagenomics prediction models based on microbial taxon abundance ratios, additions, and subtractions, achieving performance comparable to or better than traditional machine learning methods.