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Automated subset identification and characterization pipeline for multidimensional flow and mass cytometry data clustering and visualization

When examining datasets of any dimensionality, researchers frequently aim to identify individual subsets (clusters) of objects within the dataset. The ubiquity of multidimensional data has motivated the replacement of user-guided clustering with fully automated clustering. The fully automated method...

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Podrobná bibliografie
Vydáno v:Commun Biol
Hlavní autoři: Meehan, Stephen, Kolyagin, Gleb A., Parks, David, Youngyunpipatkul, Justin, Herzenberg, Leonore A., Walther, Guenther, Ghosn, Eliver E. B., Orlova, Darya Y.
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2019
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6586874/
https://ncbi.nlm.nih.gov/pubmed/31240267
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s42003-019-0467-6
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