| 基于SOM的聚类算法在抑郁症药物药效检测中的应用 |
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| 引用本文： | 王修竹.基于SOM的聚类算法在抑郁症药物药效检测中的应用[J].西南科技大学学报,2011,26(2):62-64. |
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| 作者姓名： | 王修竹 |
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| 作者单位： | 西南科技大学计算机科学与技术学院，四川绵阳，621010 |
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| 基金项目： | 西南科技大学科研基金(11ZX3118) |
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| 摘 要： | 为了研究不同治疗抑郁症的药物(利血平、开郁安神胶囊)对抑郁症的治疗效果，用SOM和K-Means相结合的方法对用药后的抑郁症大鼠DNA的芯片样本进行聚类。结果表明，将K-Means用于收敛后的SOM网络，不仅较好地解决了SOM在训练样本后边界不清的问题，也将样本的训练结果映射在二维，有利于对聚类结果的呈现。此外，改进的...
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| 关 键 词： | 基因表达数据 SOM K-Means 抑郁症 药效检测 |
Application of SOM-based Clustering Algorithm in Detecting Depression Drug's Efficacy |
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| WANG Xiu-zhu.Application of SOM-based Clustering Algorithm in Detecting Depression Drug's Efficacy[J].Journal of Southwest University of Science and Technology,2011,26(2):62-64. |
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| Authors: | WANG Xiu-zhu |
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| Institution: | WANG Xiu-zhu (School of Computer Science and Technology,Southwest University of Science and Technology,Mianyang 621010,Sichuan,China) |
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| Abstract: | In order to judge different Depression Drug's Efficacy(Reserpine,Kai Yu An Shen Capsules), this paper developed an algorithm based on combining SOM and K-Means together to cluster rat' s DNA Chip samples after depression rat taking certain medicine.Using K-Means after the convergence SOM,not only solved the problem of SOM's unclear boundaries after training the samples,but also the training results finally mapped in the two-dimension.In addition,the improved algorithm can also solve the difficulties of K-Me... |
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| Keywords: | Gene Expression Data SOM K-Means Depression Efficacy Testing |
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