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Single-cell gene set enrichment analysis and transfer learning for functional annotation of scRNA-seq data
Although an essential step, cell functional annotation often proves particularly challenging from single-cell transcriptional data. Several methods have been developed to accomplish this task. However, in most cases, these rely on techniques initially developed for bulk RNA sequencing or simply make...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985338/ https://www.ncbi.nlm.nih.gov/pubmed/36879897 http://dx.doi.org/10.1093/nargab/lqad024 |