FlowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification.

ABSTRACT: 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.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)[e-mail] data are available at Bioinformatics online.

SUBMITTER: Malek M 

PROVIDER: S-EPMC4325545 | biostudies-other | 2015 Feb

REPOSITORIES: biostudies-other