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