Information Visualization for DNA Microarray Data Analysis: A Critical Review

Graphical representation may provide effective means of making sense of the complexity and sheer volume of data produced by DNA microarray experiments that monitor the expression patterns of thousands of genes simultaneously. The ability to use "abstract" graphical representation to draw attention to areas of interest, and more in-depth visualizations to answer focused questions, would enable biologists to move from a large amount of data to particular records they are interested in, and therefore, gain deeper insights in understanding the microarray experiment results. This paper starts by providing some background knowledge of microarray experiments, and then, explains how graphical representation can be applied in general to this problem domain, followed by exploring the role of visualization in gene expression data analysis. Having set the problem scene, the paper then examines various multivariate data visualization techniques that have been applied to microarray data an...

• Type: Journal
• Year: 2008
• Where: TSMC
• Authors: Leishi Zhang, J. Kuljis, Xiaohui Liu
• Keywords: Data Analysis, Effective Means, Graphical Representation, TSMC 2008