Gene selection for high dimensional data using k-means clustering algorithm and statistical approach

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• 来源
  《International Conference on Computational Science and Technology》|2014年|1-6|共6页
• 会议地点
• 作者

  Ahmad Farzana Kabir; Yusof Yuhanis; Othman Nor Hayati;

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• 原文格式 PDF
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• 关键词

  biology computing; cancer; genetics; pattern classification; pattern clustering; statistical analysis; Fisher criterion; Golub signal-to-noise; Mann Whitney rank; biologist; cancer cells; gene selection methods; high dimensional data; high discriminative score; k-NN classifier; k-means clustering algorithm; microarray data analysis; microarray technology; statistical techniques; t-test; Classification algorithms; Clustering algorithms; Data analysis; Gene expression; Information filtering; Scientific computing; Gene selection; microarray; statistical techniques;

  机译：生物学计算;癌症;遗传学;模式分类;模式聚类;统计分析; Fisher准则; Golub信噪比; Mann Whitney等级;生物学家;癌细胞;基因选择方法;高维数据;高判别分数; k-NN分类器; k-均值聚类算法;微阵列数据分析;微阵列技术;统计技术; t检验;分类算法;聚类算法;数据分析;基因表达;信息过滤;科学计算;基因选择;微阵列;统计技术;