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- Tokutaka Heizo
- SOM Japan Inc.
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- Ohkita Masaaki
- SOM Japan Inc.
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- Ikeda Masashi
- Okayama University
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- Kasai Tomonari
- Okayama University
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- Seno Masaharu
- Okayama University
Bibliographic Information
- Other Title
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- 遺伝子データへのSOM有意度解析法の応用
- イデンシ データ エ ノ SOM ユウイド カイセキホウ ノ オウヨウ
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Abstract
The significance degree of each component was calculated only by once SOM learning where the Spherical Self-Organizing-Map (SSOM) was used for the analysis. This method was applied to a great deal of gene data of the breast cancer. Then, the relation between each gene and the breast cancer was examined. Finally, the method succeeded in 22 genetic extraction to be connected with breast cancer carcinogenesis from 831 genes
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 31 (0), 476-481, 2015
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001205673216128
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- NII Article ID
- 130005488340
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- NII Book ID
- AA12165648
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- ISSN
- 18820212
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- NDL BIB ID
- 026778357
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed