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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Bibliografski detalji
Izdano u:Bioinformatics
Glavni autori: 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
Jezik:Inglês
Izdano: Oxford University Press 2015
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Applications Notes
Online pristup: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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