Publication Date:
2015-02-13
Description:
: flowDensity facilitates reproducible, high-throughput analysis of flow cytometry data by automating a predefined manual gating approach. The algorithm is based on a sequential bivariate gating approach that generates a set of predefined cell populations. It chooses the best cut-off for individual markers using characteristics of the density distribution. The Supplementary Material is linked to the online version of the manuscript. Availability and implementation: R source code freely available through BioConductor ( http://master.bioconductor.org/packages/devel/bioc/html/flowDensity.html .). Data available from FlowRepository.org (dataset FR-FCM-ZZBW). Contact: rbrinkman@bccrc.ca Supplementary information: Supplementary data are available at Bioinformatics online.
Print ISSN:
1367-4803
Electronic ISSN:
1460-2059
Topics:
Biology
,
Computer Science
,
Medicine
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