Songming Tang

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

MethyAnno is proposed as an interpretable deep metric learning framework that leverages multi‐scale information for accurate cell type annotation of scDNAm data and establishes MethyAnno as a robust and biologically interpretable tool for accurate cell type annotation and downstream epigenetic analysis.