ePrints.FRI - University of Ljubljana, Faculty of Computer and Information Science

Use of background knowledge in visualization of high-dimensional data

Peter Us (2014) Use of background knowledge in visualization of high-dimensional data. EngD thesis.

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    Data visualisation can be an extremely efficient way of analyzing and discovering new knowledge from data. More often than not, we have background knowledge about the data, which we can then use to find meaningful and useful visualizations. This thesis examines the influence of gene sets gained from MSigDB upon the quality of visualizations of DNA microarrays. We hypothesize, that we can use gene sets to gain better and clearer visualizations. In the first chapter we explain what data visualization is, and introduce our working methods. At the end of the first chapter we present a method called VizRank, which allows us to automatically find and rate quality visualizations. This is followed by the second chapter, in which we describe the DNA microarray data and the data of gene sets. In the last part we present our experiential work, which is split into three sections. In each individual section we present the idea, procedure, solution and analysis of the results of experimentation.

    Item Type: Thesis (EngD thesis)
    Keywords: visualisations, VizRank, Radviz, scatter plot, DNA microarrays
    Number of Pages: 47
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    izr. prof. dr. Janez Demšar257Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=00010770516)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 2663
    Date Deposited: 11 Sep 2014 15:27
    Last Modified: 26 Sep 2014 09:11
    URI: http://eprints.fri.uni-lj.si/id/eprint/2663

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