SWIFT—scalable clustering for automated identification of rare cell populations in large, high‐dimensional flow cytometry datasets, Part 2: Biological evaluation
Abstract A multistage clustering and data processing method, SWIFT (detailed in a companion manuscript), has been developed to detect rare subpopulations in large, high‐dimensional flow cytometry datasets. An iterative sampling procedure initially fits the data to multidimensional Gaussian distribut...
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| Hlavní autoři: | , , , , , , |
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| Médium: | Artigo |
| Jazyk: | angličtina |
| Vydáno: |
2014
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| On-line přístup: | https://doi.org/10.1002/cyto.a.22445 https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cyto.a.22445 |
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