Focused multidimensional scaling: interactive visualization for exploration of high-dimensional data

Visualization is an important tool for generating meaning from scientific data, but the visualization of structures in high-dimensional data (such as from high-throughput assays) presents unique challenges. Dimension reduction methods are key in solving this challenge, but these methods can be misle...

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Hauptverfasser: Urpa, Lea M. (VerfasserIn) , Anders, Simon (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 02 May 2019
In: BMC bioinformatics
Year: 2019, Jahrgang: 20
ISSN:1471-2105
DOI:10.1186/s12859-019-2780-y
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s12859-019-2780-y
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Verfasserangaben:Lea M. Urpa and Simon Anders
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Focused multidimensional scaling: interactive visualization for exploration of high-dimensional data von Urpa, Lea M. (VerfasserIn) , Anders, Simon (VerfasserIn) ,

Universitätsbibliothek Heidelberg 2019 BioMed Central 2019

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