Author

Sheng-Quan Chen

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Open access Sep 2026

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.

Yuhang Jia, Si-Yu Li, Songming Tang et al. · Advancement of science · 0 citations

Aug 2026

Robust annotation and discovery of novel cell types in single-cell ATAC-seq data through cross-modal reference alignment.

CARA is introduced, a cross-omics Bayesian framework that transfers cell type knowledge from scRNA-seq to scATAC-seq and detects novel cell types in single-cell DNA methylation data, demonstrating seamless extensibility to new modalities.

Lan Cao, Wenhao Zhang, Feng Zhou et al. · Genome Research · 0 citations