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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Bibliografiska uppgifter
I publikationen:Bioinformatics
Huvudupphovsmän: 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.
Materialtyp: Artigo
Språk:Inglês
Publicerad: Oxford University Press 2015
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Applications Notes
Länkar: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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