Visualization of data structure, domain knowledge and data mining results: application to breast cancer gene expressions

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DOIResolve DOI: http://doi.org/10.4224/5764227
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TypeTechnical Report
SubjectBiological data visualization; Biological data mining; Pattern recognition; Microarray data analysis
AbstractComputational visualization techniques are used to explore, in an immersive fashion, inherent data structure in both an unsupervised and supervised manner. Supervision is provided via i) domain knowledge contained in breast cancer data, and ii) unsupervised data mining procedures, such as k-means and rough set based k-means. Despite no explicit preprocessing, exploration of high dimensional data sets is demonstrated. In particular, some of the visual perspectives presented in this study may be useful for helping to understand breast cancer gene expressions or results from computational data mining procedures.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48489
NPARC number5764227
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Record identifierc94bf883-5380-4e17-a2a9-8fb502dc49ef
Record created2009-03-29
Record modified2016-10-03
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