New multi-task deep learning framework integrates large-scale single-cell proteomics and transcriptomics data

The exponential progress in single-cell multi-omics technologies has led to the accumulation of large and diverse multi-omics datasets. However, the integration of single-cell proteomics and transcriptomics (or epigenomics) data poses a significant challenge to existing methods. Several transformer-based models, such as Geneformer, have significantly changed the paradigm of single-cell transcriptome analysis. However, these methods place significant demands on computational resources.