De novo binning strategy to analyze and visualize multi-dimensional cytometric data : engineering of combinatorial variables for supervised learning approaches

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Alternative title: De novo Binning-Ansatz zur Untersuchung und Visualisierung von multidimensionalen Zytrometriedaten

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Potsdam, Universität Potsdam, Dissertation, 2019

Keyword: Engineering
Strategy
Learning

Event: Veröffentlichung

(where): Potsdam

(who): Universität Potsdam

(when): 2019

Creator: Hoang, Yen

Contributor: Selbig, Joachim
Baumgrass, Ria
Beyerlein, Peter

URN: urn:nbn:de:kobv:517-opus4-443078

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:56 AM CEST

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Associated

Hoang, Yen
Selbig, Joachim
Baumgrass, Ria
Beyerlein, Peter
Universität Potsdam

Time of origin

2019

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De novo binning strategy to analyze and visualize multi-dimensional cytometric data : engineering of combinatorial variables for supervised learning approaches

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