Turkay, C., Parulek, J. & Hauser, H. (2012). Dual analysis of DNA microarrays. Paper presented at the i-Know '12, 12th International Conference on Knowledge Management and Knowledge Technologies, 5 September 2012 - 7 September 2012, Graz, Austria.
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Microarray data represents the expression levels of genes for different samples and for different conditions. It has been a central topic in bioinformatics research for a long time already. Researchers try to discover groups of genes that are responsible for specific biological processes. Statistical analysis tools and visualizations have been widely used in the analysis of microarray data. Researchers try to build hypotheses on both the genes and the samples. Therefore,such analyses require the joint exploration of the genes and the samples. However, current methods in interactive visual analysis fail to provide the necessary mechanisms for this joint analysis. In this paper, we propose an interactive visual analysis framework that enables the dual analysis of the samples and the genes through the use of integrated statistical tools. We introduce a set of specialized views and a detailed analysis procedure to describe the utilization of our framework.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||interactive visual analysis, visual analytics, microarray data|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||School of Informatics > Department of Computing|
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