Chronological age estimation from human microbiomes with transformer-based Robust Principal Component Analysis

Abstract excerpt

Deep learning for microbiome analysis has shown potential for understanding microbial communities and human phenotypes. Here, we propose an approach, Transformer-based Robust Principal Component Analysis(TRPCA), which leverages the strengths of transformer architectures and interpretability of Robust Principal Component Analysis. To investigate benefits of TRPCA over conventional machine learning models, we...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Gut microbiota and health
• Share to Metabolomics and Mass Spectrometry Studies
• Share to Traditional Chinese Medicine Studies