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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Detalles Bibliográficos
Autores principales: Meehan, Stephen, Kolyagin, Gleb A., Parks, David, Youngyunpipatkul, Justin, Herzenberg, Leonore A., Walther, Guenther, Ghosn, Eliver E. B., Orlova, Darya Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586874/
https://www.ncbi.nlm.nih.gov/pubmed/31240267
http://dx.doi.org/10.1038/s42003-019-0467-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586874/
https://www.ncbi.nlm.nih.gov/pubmed/31240267
http://dx.doi.org/10.1038/s42003-019-0467-6

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