A novel data fusion method for the effective analysis of multiple panels of flow cytometry data.

ABSTRACT: Multicolour flow cytometry (MFC) is used to measure multiple cellular markers at the single-cell level. Cellular markers may be coloured with different panels of fluorescently-labelled antibodies to enable cell identification or the detection of activated cells in pre-defined, 'gated' specific cell subsets. The number of markers that can be used per measurement is technologically limited however, requiring every panel to be analysed in a separate aliquot measurement. The combined analyses of these dedicated panels may enhance the predictive ability of these measurements and could enrich the interpretation of the immunological information. Here we introduce a fusion method for MFC data, based on DAMACY (Discriminant Analysis of Multi-Aspect Cytometry data), which can combine information fro

SUBMITTER: Tinnevelt GH 

PROVIDER: S-EPMC6494873 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature