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Orlando, FL, USA
March 24, 2002 to March 28, 2002
ISBN: 0-7695-1492-8
pp: 224
Makoto Kano , University of Tokyo
Shuichi Tsutsumi , University of Tokyo
Kunihiro Nishimura , University of Tokyo
Hiroyuki Aburatani , University of Tokyo
Koichi Hirota , University of Tokyo
Michitaka Hirose , University of Tokyo
In this paper, we discuss application possibilities of virtual reality technologies such as immersive projection technology, to the field of genome science, and the guiding principles for the visualization of genome information are proposed. In addition, we developed a visualization methodology by using immersive projection technology for pair-wise comparison between cluster sets generated from different gene expression datasets. Our methodology could display the distribution of overlaps between two hierarchical cluster sets based on hepatocellular carcinomas and hepatoblastomas.
Visualization, Immersive Projection Technology, Gene Expression, Genome Function Analysis
Makoto Kano, Shuichi Tsutsumi, Kunihiro Nishimura, Hiroyuki Aburatani, Koichi Hirota, Michitaka Hirose, "Visualization for Genome Function Analysis Using Immersive Projection Technology", VR, 2002, Proceedings IEEE Virtual Reality 2002, Proceedings IEEE Virtual Reality 2002 2002, pp. 224, doi:10.1109/VR.2002.996526
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