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April 16, 2026Genome biology1 citationsOpen Access

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

MZMengyuan ZhaoJLJiawei LiYJYanlin Jiang

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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Cite This Study

Zhao et al. (2026) studied this question.

synapsesocial.com/papers/69e07c1e2f7e8953b7cbd952https://doi.org/10.1186/s13059-026-04070-6
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