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SuperGLUE facilitates an explainable training framework for multi-modal data analysis

delete2025-09-05
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T
Tianyu Liu
J
Jia Zhao
赵宏宇 cover
赵宏宇 (Hongyu Zhao) *
DOI:10.1016/j.crmeth.2025.101167delete
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Abstract

Abstract

En 中文
• SuperGLUE is a deep-learning-based framework for multi-omics data integration • SuperGLUE can integrate arbitrary modalities with paired or unpaired relationships • SuperGLUE can reveal differential network elements from multi-omics perturbation data
Keywords:
single-cell sequencing
multi-omics data analysis
embeddings
gene regulatory network inference
perturbation analysis
CP: Computational biology
CP: Systems biology
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Journal

Cell Reports Methods cover
Cell Reports Methods
IF:
4.5
Papers:
924
Citations:
2.0K

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Yale University
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6.5W
Papers: 6.0W
Citations: 10.0W