SemiLT: A Multianchor Transfer Learning Method for Cross-Modality Cell Label Annotation from scRNA-seq to scATAC-seq.

ABSTRACT: scATAC-seq enables the detailed exploration of epigenetic variations across various cell clusters, providing complementary insights to scRNA-seq. However, its extreme sparsity and high dimensionality pose significant challenges for cell type annotation. Transfer learning can extract key features from well-annotated data to assist in annotating target data, thereby improving annotation accuracy. However, existing transfer learning methods overlook the temporal discrepancies between scRNA-seq and scATAC-seq, which exacerbate batch effects between these two modalities. Therefore, SemiLT, a multi-anchor transfer learning method, is introduced for cell label annotation from scRNA-seq to scATAC-seq. Benchmarking across multiple datasets shows that SemiLT outperforms existing tools in both cell t

SUBMITTER: Chen Z 

PROVIDER: S-EPMC12631852 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature