Scientific Visualization of Multidimensional Data: Genetic Likelihood Visualization

Juw Won Park (), Mark Logue (), Jun Ni (), James Cremer (), Alberto Segre () and Veronica Vieland ()
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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

A chapter in Current Trends in High Performance Computing and Its Applications, 2005, pp 403-408 from Springer

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.

Keywords: scientific visualization; multidimensional data; linkage analysis; computer graphics; genetic data; biostatistics (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-27912-9_52

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DOI: 10.1007/3-540-27912-1_52

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