Multidimensional Visualization Techniques for Microarray Data

Analysis of high-dimensional micro array expression data is based mostly on the statistical approaches that are indispensable for the study of biological systems. To aid the analysis and exploration of such data, the process of analyzing such data is often enhanced with visual, data mining and other computational techniques. We utilize a set of tools for the visual analysis of data aimed at generating the hypotheses. We show the usability of classic and novel multi-dimensional visualization tools in life sciences. Additionally, we survey and show several multidimensional visualization tools applied to the process of data exploration using a urothelial cell carcinoma of the bladder time course. These tools have the potential of uncovering non-trivial relationships and structures in the data.