Multi-model biological and sequence information fusion for gene regulatory network inference from single-cell transcriptomics
lin zhong, Bin Yan, Junwen Wang, minzhu xie
This paper introduces scMGFGRN, a deep learning framework for gene regulatory network inference from single-cell transcriptomics, which outperforms existing methods by integrating multimodal biological data.
bioRxiv · Sep 19, 2026 · PreprintBioinformatics