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

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DOI	Resolve DOI: https://doi.org/10.4224/5764227
Author	Search for: Valdés, Julio; Search for: Barton, Alan
Format	Text, Technical Report
Subject	Biological data visualization; Biological data mining; Pattern recognition; Microarray data analysis; Exploration de données biologiques; Reconnaissance de modèles; Analyse de données d'un microréseau
Abstract	Computational 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	2006
Language	English
NRC number	NRCC 48489
NPARC number	5764227
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Record identifier	c94bf883-5380-4e17-a2a9-8fb502dc49ef
Record created	2009-03-29
Record modified	2020-05-27