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Automated subset identification and characterization pipeline for multidimensional flow and mass cytometry data clustering and visualization
When examining datasets of any dimensionality, researchers frequently aim to identify individual subsets (clusters) of objects within the dataset. The ubiquity of multidimensional data has motivated the replacement of user-guided clustering with fully automated clustering. The fully automated method...
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| Veröffentlicht in: | Commun Biol |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6586874/ https://ncbi.nlm.nih.gov/pubmed/31240267 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s42003-019-0467-6 |
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