Novel data analysis method for multicolour flow cytometry links variability of multiple markers on single cells to a clinical phenotype.

ABSTRACT: Multicolour Flow Cytometry (MFC) produces multidimensional analytical data on the quantitative expression of multiple markers on single cells. This data contains invaluable biomedical information on (1) the marker expressions per cell, (2) the variation in such expression across cells, (3) the variability of cell marker expression across samples that (4) may vary systematically between cells collected from donors and patients. Current conventional and even advanced data analysis methods for MFC data explore only a subset of these levels. The Discriminant Analysis of MultiAspect CYtometry (DAMACY) we present here provides a comprehensive view on health and disease responses by integrating all four levels. We validate DAMACY by using three distinct datasets: in vivo response of neutrophils e

SUBMITTER: Tinnevelt GH 

PROVIDER: S-EPMC5511252 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature