Aligned cross-modal integration and regulatory heterogeneity characterization of single-cell multiomic data with deep contrastive learning

Abstract Background Single-cell multi-omics (scMulti-omics) technologies have revolutionized our understanding of cellular functions and interactions by enabling the simultaneous measurement of diverse cellular modalities. Integrating these heterogeneous data types presents significant challenges du...

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Detalhes bibliográficos

Principais autores:	Yue Cheng, Yanchi Su, Yi Fan, Yuning Yang, Xingjian Chen, Fuzhou Wang, Ka-Chun Wong, Xiangtao Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2026-01-01
Colecção:	Genome Medicine
Assuntos:	Single-cell multi-omics Contrastive learning ScMulti-omics integration and clustering
Acesso em linha:	https://doi.org/10.1186/s13073-025-01586-7
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