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Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing data
The advances of single-cell transcriptomic technologies have led to increasing use of single-cell RNA sequencing (scRNA-seq) data in large-scale patient cohort studies. The resulting high-dimensional data can be summarized and incorporated into patient outcome prediction models in several ways; howe...
| 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/PMC10199760/ https://www.ncbi.nlm.nih.gov/pubmed/37096588 http://dx.doi.org/10.1093/bib/bbad159 |