| 基于基因表达谱的肿瘤识别与分类特征基因提取研究 |
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| 引用本文： | 郑杰,郭呈全,程俊荣,高利新.基于基因表达谱的肿瘤识别与分类特征基因提取研究[J].数学的实践与认识,2011,41(14). |
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| 作者姓名： | 郑杰 郭呈全 程俊荣 高利新 |
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| 作者单位： | 温州大学数学与信息科学学院,浙江温州,325035 |
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| 基金项目： | 国家自然基金项目(61074123) |
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| 摘 要： | 针对基因表达谱信息基因提取的问题,使用Wilcoxon秩和检验方法进行"无关基因"的剔除,基于高低水平基因表达的特点,建立了关于高/低表达水平的双线性回归模型,基于残差分析提取了19个特征基因.使用启发式宽度优先搜索算法搜索最优基因子集,确定结肠癌的基因"标签",运用支持向量机对分类效果进行检验,分类效果良好.
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| 关 键 词： | 基因表达谱 基因标签 双线性回归模型 Bayse动态模型 |
Tumor Identification Based on Gene Expression Profiles and the Search About Extraction of the Feature Genes |
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| ZHENG Jie,GUO Cheng-quan,CHENG Jun-rong,GAO Li-xin.Tumor Identification Based on Gene Expression Profiles and the Search About Extraction of the Feature Genes[J].Mathematics in Practice and Theory,2011,41(14). |
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| Authors: | ZHENG Jie GUO Cheng-quan CHENG Jun-rong GAO Li-xin |
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| Institution: | ZHENG Jie,GUO Cheng-quan,CHENG Jun-rong,GAO Li-xin (College of Mathematics & Information Science,Wenzhou University,Wenzhou 325035,China) |
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| Abstract: | Based on the problem of extracting information gene expression profiles,we use the wilcoxon rank method to removeunrelated genes.Based on the characteristics of high and low levels of gene expression,the bilinear regression model is established on the high/low expression levels.The 19 feature genes is extracted based on the Residual analysis. The heuristic breadth-first search algorithm is used to search for the optimal gene subset, and then to determine the gene tag of colon cancer.There is good effect by ... |
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| Keywords: | gene expression profile gene labels bilinear regression model Bayse dynamic model |
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