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flowClust: a Bioconductor package for automated gating of flow cytometry data |
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| Authors: | Kenneth Lo Florian Hahne Ryan R Brinkman Raphael Gottardo |
| Affiliation: | 1. Department of Statistics, University of British Columbia, 333-6356 Agricultural Road, Vancouver, BC, V6T1Z2, Canada 2. Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA, 98109, USA 3. Terry Fox Laboratory, BC Cancer Research Center, 675 West 10th Avenue, Vancouver, BC, V5Z1L3, Canada 4. Institut de recherches cliniques de Montreal, 110, avenue des Pins Ouest, Montreal, QC, H2W 1R7, Canada 5. Département de biochimie, Université de Montreal, 2900, boul Edouard-Montpetit, Montreal, QC, H3T 1J4, Canada |
| Abstract: | BackgroundAs a high-throughput technology that offers rapid quantification of multidimensional characteristics for millions of cells, flow cytometry (FCM) is widely used in health research, medical diagnosis and treatment, and vaccine development. Nevertheless, there is an increasing concern about the lack of appropriate software tools to provide an automated analysis platform to parallelize the high-throughput data-generation platform. Currently, to a large extent, FCM data analysis relies on the manual selection of sequential regions in 2-D graphical projections to extract the cell populations of interest. This is a time-consuming task that ignores the high-dimensionality of FCM data. |
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