Multiple myeloma gene expression data was analyzed and Self Organization Prediction Model (SOPM) based on Self-Organization Mapping (SOM) networks was established for predicting multiple myeloma.
本研究基于自组织映射网络(SOM)，分析多骨髓瘤基因表达数据，建立预测多骨髓瘤的自组织预测模型(SOPM)。
A quantum self-organization feature mapping networks model and its clustering algorithm are presented.
提出一种量子自组织特征映射网络模型及聚类算法。
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