LU Xin-guo, LIN Ya-ping, WANG Hai-jun, et al. A Relative Space Based Cancer Classification with Gene Expression Profiles[J]. Acta Electronica Sinica, 2008, 36(4): 614-619.
LU Xin-guo, LIN Ya-ping, WANG Hai-jun, et al. A Relative Space Based Cancer Classification with Gene Expression Profiles[J]. Acta Electronica Sinica, 2008, 36(4): 614-619.DOI：
提出一种基于权重的关联空间分类模型(Weight based Classification with Related Space
WCRS).基本思想是首先利用协方差矩阵的对角化来构建癌症组的关联空间
并提出一种基于癌症关联空间的基因表达模式
然后提取使得癌症组具有最小组能量的最小扩展空间
最后在最小扩展空间上建立一种基于权重的癌症分类算法.实验结果表明
WCRS在精确度上比传统分类算法具有更好的性能.
Abstract
Classification of patient samples with gene expression profiles is important to cancer treatment.In the large redundant and high dimensional gene expression data
a cancer is sensitive to some cancerogenic factors while another cancer is sensitive to some others.So we proposed a weight based classification with relative space(WCRS).The main idea is that a cancer’s relative space is obtained via the diagonalization of its covariance matrix
and we built the cancer’s model based on its relative space.Then the energy of a cancer is presented for measuring its relative spaces
and a minimal spread space based classification algorithm is proposed.The experiments show WCRS makes better precision than traditional classifications.
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