General Information
| Description | Reproducing manual gating of flow cytometry data by automated density-based cell population identification |
| Homepage | http://master.bioconductor.org/packages/devel/bioc/html/flowDensity.html |
Publications
flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification
Summary:
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 Data 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.
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