scMODAL: a general deep learning framework for comprehensive single-cell multi-omics data alignment...
scMODAL: a general deep learning framework for comprehensive single-cell multi-omics data alignment with feature links
About this item
Full title
Author / Creator
Wang, Gefei , Zhao, Jia , Lin, Yingxin , Liu, Tianyu , Zhao, Yize and Zhao, Hongyu
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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Contents
Recent advancements in single-cell technologies have enabled comprehensive characterization of cellular states through transcriptomic, epigenomic, and proteomic profiling at single-cell resolution. These technologies have significantly deepened our understanding of cell functions and disease mechanisms from various omics perspectives. As these tech...
Alternative Titles
Full title
scMODAL: a general deep learning framework for comprehensive single-cell multi-omics data alignment with feature links
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e717a940a3d943ccb8b696497c54df51
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e717a940a3d943ccb8b696497c54df51
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-025-60333-z
