MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi-scale Information and Metric Learning Framework for scDNAm Data
Project description
MethyAnno is an interpretable deep metric learning framework that leverages multi-scale information for accurate cell type annotation of scDNAm data. Additionally, MethyAnno enables Generalized Category Discovery (GCD) in open-set scenarios by utilizing density-based clustering to automatically estimate the number of novel cell types, while simultaneously deciphering cell-type-specific epigenetic signatures for biological interpretability.
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