Evaluation of Self-Supervised Pre-training for Disease Classification from Gut Metagenomes
Self-supervised pre-training has become the dominant paradigm in single-cell and protein modelling, yet its value for microbiome-based disease classification remains untested under evaluation protocols that control for study-level confounding. Public metagenomic collections aggregate hundreds of independently conducted...