Clustering of samples with a tree-shaped dependence structure, with an application to microscopic time lapse imaging

Recent imaging technologies allow for high-throughput tracking of cells as they migrate, divide, express fluorescent markers and change their morphology. The interpretation of these data requires unbiased, efficient statistical methods that model the dynamics of cell phenotypes. We introduce treeHFM...

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Veröffentlicht in:	Bioinformatics (Oxford, England) England), 2019-07, Vol.35 (13), p.2291-2299
Hauptverfasser:	Failmezger, Henrik, Dursun, Ezgi, Dümcke, Sebastian, Endele, Max, Poron, Don, Schroeder, Timm, Krug, Anne, Tresch, Achim
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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