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17th International Conference on Pattern Recognition (ICPR'04) - Volume 2
Comparison of Microarray-Based Predictive Systems for Early Recurrence of Cancer
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Takanobu Miyamoto, Yamaguchi University, Japan
Shunji Uchimura, Yamaguchi University, Japan
Yoshihiko Hamamoto, Yamaguchi University, Japan
Norio Iizuka, Yamaguchi University School of Medicine, Japan
Masaaki Oka, Yamaguchi University School of Medicine, Japan
In our previous study, we successfully developed a novel predictive system with microarray data in order to predict early intrahepatic recurrence of hepatocellular carcinoma after curative resection. In this paper, we compare our system with other systems in terms of the predictive performance. From experimental results, our system was superior to other systems. This success comes from our gene selection procedure that can cope with the sample variability.
Citation:
Takanobu Miyamoto, Shunji Uchimura, Yoshihiko Hamamoto, Norio Iizuka, Masaaki Oka, "Comparison of Microarray-Based Predictive Systems for Early Recurrence of Cancer," icpr, vol. 2, pp.347-350, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004
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