flowCL: ontology-based cell population labelling in flow cytometry

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 s...

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Veröffentlicht in:Bioinformatics
Hauptverfasser: Courtot, Mélanie, Meskas, Justin, Diehl, Alexander D., Droumeva, Radina, Gottardo, Raphael, Jalali, Adrin, Taghiyar, Mohammad Jafar, Maecker, Holden T., McCoy, J. Philip, Ruttenberg, Alan, Scheuermann, Richard H., Brinkman, Ryan R.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2015
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4393520/
https://ncbi.nlm.nih.gov/pubmed/25481008
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu807
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