QFMatch: multidimensional flow and mass cytometry samples alignment

Part of the flow/mass cytometry data analysis process is aligning (matching) cell subsets between relevant samples. Current methods address this cluster-matching problem in ways that are either computationally expensive, affected by the curse of dimensionality, or fail when population patterns signi...

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Veröffentlicht in:	Scientific reports 2018-02, Vol.8 (1), p.3291-14, Article 3291
Hauptverfasser:	Orlova, Darya Y., Meehan, Stephen, Parks, David, Moore, Wayne A., Meehan, Connor, Zhao, Qian, Ghosn, Eliver E. B., Herzenberg, Leonore A., Walther, Guenther
Format:	Artikel
Sprache:	eng
Schlagworte:	13/31 631/114/2398 631/114/2415 Algorithms Cluster Analysis Clustering Computational Biology - statistics & numerical data Computer applications Data Interpretation, Statistical Data processing Datasets Flow cytometry Flow Cytometry - statistics & numerical data Histograms Humanities and Social Sciences Humans Immunology Immunophenotyping multidisciplinary Science Science (multidisciplinary)
Online-Zugang:	Volltext
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