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.
BMC genomics26, 132 (2025)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.CB 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.