Swift: Scalable weighted iterative sampling for flow cytometry clustering

Abstract

Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets which pose a significant challenge for traditional manual bivariate analysis. Automated multivariate clustering, though highly desirable, is also stymied by the critical… (More)
DOI: 10.1109/ICASSP.2010.5495653

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