The new clustering algorithm is analyzed on several aspects and tested on the published yeast cell-cycle microarray data.
从多方面分析了该算法的性能，并将该算法应用于酵母细胞周期的芯片表达谱数据聚类。
Two examples are our research such as the prediction of prognosis for cancer patients from DNA microarray data using FNN and gene clustering for DNA microarray data using fuzzy ART.
有两个例子是我们的研究，如DNA微阵列数据使用DNA微阵列数据的模糊art模糊神经网络和基因聚类的癌症患者预后的预测。
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