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.
This project is supported by ITS (Information Technology Services) at The University of Iowa and Center for Statistical Genetics Research at The University of Iowa.
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Park, J.W., Logue, M., Ni, J., Cremer, J., Segre, A., Vieland, V. (2005). Scientific Visualization of Multidimensional Data: Genetic Likelihood Visualization. In: Zhang, W., Tong, W., Chen, Z., Glowinski, R. (eds) Current Trends in High Performance Computing and Its Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27912-1_52
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DOI: https://doi.org/10.1007/3-540-27912-1_52
Publisher Name: Springer, Berlin, Heidelberg
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