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Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive resonance theory (PART) filtering method |
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| Authors: | Hiro Takahashi Takeshi Nemoto Teruhiko Yoshida Hiroyuki Honda and Tadashi Hasegawa |
| Institution: | (1) Department of Biotechnology, School of Engineering, Nagoya University, Furo-cho, Chikusa-ku Nagoya, 464-8603, Japan;(2) Research Fellow of the Japanese Society for the Promotion of Science (JSPS), Japan;(3) Genetics Division, National Cancer Center Research Institute, 5-1-1 Tsukiji, Tokyo, 104-0045 Chuo-ku, Japan;(4) Pathology Division, National Cancer Center Research Institute, 5-1-1 Tsukiji, Tokyo, 104-0045 Chuo-ku, Japan;(5) Department of Surgical Pathology, Sapporo Medical University School of Medicine, South 1 West 16, Sapporo, 060-8543 Chuo-ku, Japan |
| Abstract: | BackgroundRecent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in improved diagnosis and selection of treatment. To accomplish this objective, it is important to establish a sophisticated algorithm that can deal with large quantities of data such as gene expression profiles obtained by DNA microarray analysis. |
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