A transfer learning framework to elucidate the clinical relevance of altered proximal tubule cell states in kidney disease
Summary: The application of single-cell technologies in clinical nephrology remains elusive. We generated an atlas of transcriptionally defined cell types and cell states of human kidney disease by integrating single-cell signatures reported in the literature with newly generated signatures obtained...
| Principais autores: | , , , , , , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
Elsevier
2024-03-01
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| coleção: | iScience |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2589004224004929 |