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Selecting single cell clustering parameter values using subsampling-based robustness metrics
BACKGROUND: Generating and analysing single-cell data has become a widespread approach to examine tissue heterogeneity, and numerous algorithms exist for clustering these datasets to identify putative cell types with shared transcriptomic signatures. However, many of these clustering workflows rely...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852188/ https://www.ncbi.nlm.nih.gov/pubmed/33522897 http://dx.doi.org/10.1186/s12859-021-03957-4 |