flowCL: ontology-based cell population labelling in flow cytometry
作者： Mélanie Courtot , Justin Meskas , Alexander D. Diehl , Radina Droumeva , Raphael Gottardo
DOI: 10.1093/BIOINFORMATICS/BTU807
关键词:
摘要: Motivation: Finding one or more cell populations of interest, such as those correlating to a specific disease, is critical when analyzing flow cytometry data. However, labelling not well defined, making it difficult integrate the output algorithms external knowledge sources. Results: We developed flowCL, software package that performs semantic based on their surface markers and applied Federation Clinical Immunology Societies Human Project Consortium lyoplate use case. Conclusion: By providing automated immunophenotype, flowCL allows for unambiguous reproducible identification standardized types. Availability: Code, R script documentation are available under Artistic 2.0 license through Bioconductor 1 .
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sci-hub.se 参考文章(7)
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