A Mamba-based model integrates paired single-cell RNA and ATAC data using all genomic features, with patch tokenization and contrastive learning, and reports better integration and downstream performance than seven existing methods.
Nature methods14(9), 865–868 (2017)
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scMamba: A Scalable Foundation Model for Single-Cell Multi-Omics Integration Beyond Highly Variable Feature Selection
A Mamba-based model integrates paired single-cell RNA and ATAC data using all genomic features, with patch tokenization and contrastive learning, and reports better integration and downstream performance than seven existing methods.