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Scientific Visualization of Multidimensional Data: Genetic Likelihood Visualization

In: Current Trends in High Performance Computing and Its Applications

Author

Listed:
  • Juw Won Park

    (University of Iowa, Center for Statistical Genetics Research)

  • Mark Logue

    (University of Iowa, Center for Statistical Genetics Research)

  • Jun Ni

    (University of Iowa, Center for Statistical Genetics Research)

  • James Cremer

    (University of Iowa, Center for Statistical Genetics Research)

  • Alberto Segre

    (University of Iowa, Center for Statistical Genetics Research)

  • Veronica Vieland

    (University of Iowa, Center for Statistical Genetics Research)

Abstract

Summary Although many computer graphic technologies have been developed for visualizing multidimensional multivariate data, the scientific visualization used by research scientists to interpret genetics data is very promising technique. In this paper, we present our research in a scientific visualization on linkage analysis data to enhance the performance or the efficiency of genetic likelihood research.

Suggested Citation

  • Juw Won Park & Mark Logue & Jun Ni & James Cremer & Alberto Segre & Veronica Vieland, 2005. "Scientific Visualization of Multidimensional Data: Genetic Likelihood Visualization," Springer Books, in: Wu Zhang & Weiqin Tong & Zhangxin Chen & Roland Glowinski (ed.), Current Trends in High Performance Computing and Its Applications, pages 403-408, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-27912-9_52
    DOI: 10.1007/3-540-27912-1_52
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