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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...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7203756/ https://ncbi.nlm.nih.gov/pubmed/31971583 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa042 |
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