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Single-cell multiomics data integration and generation with scPairing

delete2025-10-27
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OA
AI
J
Jeffrey Niu
C
Carlos Vasquez-Rios
J
Jiarui Ding *
DOI:10.1016/j.crmeth.2025.101211delete
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Abstract

Abstract

En 中文
• scPairing integrates and generates single-cell multiomics data • Pairing unimodal cells produces realistic multiomics data • Generated multiomics data can be used in downstream analyses
Keywords:
single-cell multiomics
contrastive learning
deep generative models
variational autoencoders
scRNA-seq
scATAC-seq
CITE-seq
CP: systems biology
CP: computational biology
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Cell Reports Methods cover
Cell Reports Methods
IF:
4.5
Papers:
930
Citations:
2.0K

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U
University of British Columbia
Scholars:
7.0W
Papers: 6.1W
Citations: 8.6W