Interactive Poster: Visualization of Gene Combinations

نویسندگان

  • Christian Tominski
  • Clemens Holzhüter
  • Andrea Unger
  • Heidrun Schumann
چکیده

The analysis of microarray data is a key to understanding the influence and role of genes. Visualization is one way to support analysts in finding potentially important genes. However, most visualization tools focus on representing single genes, important gene combinations are not always easy to spot and compare with existing approaches. What we propose here is the novel idea of making gene combinations visually explicit, and thus making them easier to grasp and understand. We describe a tool that integrates several visual and interaction methods to help users gain insight into their microarray data. The tool further provides an interface to plug in analytical methods, which are important to filter relevant gene combinations out of the massive number of theoretically possible ones.

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تاریخ انتشار 2007