期刊
BIOINFORMATICS
卷 31, 期 4, 页码 606-607出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btu677
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资金
- National Institutes of Health [R01 EB008400]
- Human Immunology Consortium [U19 AI089986]
- National Science and Engineering Research Council
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.
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