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PARC: ultrafast and accurate clustering of phenotypic data of millions of single cells
MOTIVATION: New single-cell technologies continue to fuel the explosive growth in the scale of heterogeneous single-cell data. However, existing computational methods are inadequately scalable to large datasets and therefore cannot uncover the complex cellular heterogeneity. RESULTS: We introduce a...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203756/ https://www.ncbi.nlm.nih.gov/pubmed/31971583 http://dx.doi.org/10.1093/bioinformatics/btaa042 |