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scAB detects multiresolution cell states with clinical significance by integrating single-cell genomics and bulk sequencing data
Although single-cell sequencing has provided a powerful tool to deconvolute cellular heterogeneity of diseases like cancer, extrapolating clinical significance or identifying clinically-relevant cells remains challenging. Here, we propose a novel computational method scAB, which integrates single-ce...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9757078/ https://www.ncbi.nlm.nih.gov/pubmed/36440766 http://dx.doi.org/10.1093/nar/gkac1109 |