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Interpretable data integration for single-cell and spatial multi-omics

delete2026-02-04
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OA
AI
C
Chenghui Yang
Z
Zhentao He
Q
Qing Nie *
L
Lihua Zhang *
DOI:10.1016/j.cels.2025.101479delete
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Abstract

Abstract

En 中文
• FGOT interpretably integrates single-cell or spatial transcriptomic and epigenomic data • FGOT reveals cell or spatial heterogeneity and their transcriptional regulatory links • FGOT identifies cell-state-specific cis-regulatory elements at single-cell or spot level • FGOT extends downstream analyses for existing multi-omics data integration methods
Keywords:
optimal transport
multi-omics integration
transcriptional regulatory
single cell
spatial genomics
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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 Systems cover
Cell Systems
IF:
7.7
Papers:
1.4K
Citations:
1.0W

Organization

U
university of california irvine
Scholars:
2.2W
Papers: 1.7W
Citations: 55
W
wuhan university
Scholars:
7.9W
Papers: 5.7W
Citations: 70