CellMemory: hierarchical interpretation of out-of-distribution cells using bottlenecked transformer
Abstract Machine learning methods, especially Transformer architectures, have been widely employed in single-cell omics studies. However, interpretability and accurate representation of out-of-distribution (OOD) cells remains challenging. Inspired by the global workspace theory in cognitive neurosci...
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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-06-01
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| Series: | Genome Biology |
| Online Access: | https://doi.org/10.1186/s13059-025-03638-y |
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