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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Váldodahkkit: Tim R. Mosmann, Iftekhar Naim, Jonathan A. Rebhahn, Suprakash Datta, James S. Cavenaugh, Jason M. Weaver, Gaurav Sharma
Materiálatiipa: Artigo
Giella:eaŋgalasgiella
Almmustuhtton: 2014
Liŋkkat:https://doi.org/10.1002/cyto.a.22445
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cyto.a.22445
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