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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...
Gorde:
| Argitaratua izan da: | Bioinformatics |
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| Egile Nagusiak: | , , , , , , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Oxford University Press
2015
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| Gaiak: | |
| Sarrera elektronikoa: | 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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