标签
流式细胞术
计算机科学
本体论
人口
生物
分子生物学
医学
生物化学
环境卫生
认识论
哲学
作者
Mélanie Courtot,Justin Meskas,Alexander D. Diehl,Radina Droumeva,Raphaël Gottardo,Adrin Jalali,M. Jafar Taghiyar,Holden T. Maecker,J. Philip McCoy,Alan Ruttenberg,Richard H. Scheuermann,Ryan R. Brinkman
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2014-12-06
卷期号:31 (8): 1337-1339
被引量:18
标识
DOI:10.1093/bioinformatics/btu807
摘要
Abstract Motivation: Finding one or more cell populations of interest, such as those correlating to a specific disease, is critical when analysing flow cytometry data. However, labelling of cell populations is not well defined, making it difficult to integrate the output of algorithms to external knowledge sources. Results: We developed flowCL, a software package that performs semantic labelling of cell populations based on their surface markers and applied it to labelling of the Federation of Clinical Immunology Societies Human Immunology Project Consortium lyoplate populations as a use case. Conclusion: By providing automated labelling of cell populations based on their immunophenotype, flowCL allows for unambiguous and reproducible identification of standardized cell types. Availability and implementation: Code, R script and documentation are available under the Artistic 2.0 license through Bioconductor (http://www.bioconductor.org/packages/devel/bioc/html/flowCL.html). Contact: rbrinkman@bccrc.ca Supplementary information: Supplementary data are available at Bioinformatics online.
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