Exploring phenotype-related single-cells through attention-enhanced representation learning
Abstract Background Atlas-level single-cell investigations elucidate disease pathogenesis and progression. Accurate interpretation of phenotype-related single-cell data necessitates pre-defining cell subtypes and identifying their abundance variations. However, batch correction and clustering resolu...
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| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BMC
2026-01-01
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| Seri Bilgileri: | Genome Medicine |
| Konular: | |
| Online Erişim: | https://doi.org/10.1186/s13073-026-01598-x |
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