What question did this study set out to answer?

The aim is to enhance multi-omics integration by creating a sequence-aware framework for cross-modal translation.

April 16, 2026Genome biology0 citationsOpen Access

A sequence knowledge-guided deep learning method for single-cell multi-omics translation

MZMengyuan ZhaoChinese Academy of Sciences JLJiawei Li YJYanlin JiangSouthern University of Science and Technology

Key Points

The aim is to enhance multi-omics integration by creating a sequence-aware framework for cross-modal translation.
Developed a modular architecture for multi-omics integration
Introduced a sequence-aware paradigm
Enabled zero-shot capability for application flexibility
Improved data acquisition for proteome analysis
Facilitated the integration of single-cell multi-omics data
Showed robustness across various omics technologies

Abstract

This work advances multi-omics integration by establishing a sequence-aware paradigm for cross-modal translation, overcoming key limitations in proteome data acquisition. This modular architecture and its zero-shot capability make it a versatile platform for emerging multi-modal single-cell technologies.

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