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Expression data analysis is based mostly on the statistical approaches that are indispensable for the study of biological systems. Large amounts of multidimensional data resulting from the high-throughput technologies are not completely served by biostatistical techniques and are usually complemented with visual, knowledge discovery and other computational tools. In many cases, in biological systems the author only speculate on the processes that are causing the changes, and it is the visual explorative analysis of data during which a hypothesis is formed. The author would like to show the usability of multidimensional visualization tools and promote their use in life sciences.
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