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科学通报  2014 

基于多元方差分析的成对肿瘤SNParray数据分段算法

DOI: 10.1360/N972014-00383, PP. 3204-3208

Keywords: SNP,array,多元方差分析,分段算法,肿瘤,生物信息学

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Abstract:

单核苷酸多态性微阵列(SNParray)技术是近年来获得快速发展的一种高通量生物芯片技术,可以有效地对肿瘤细胞中的染色体变异进行检测.本文针对癌症药物治疗前后肿瘤的染色体变异的成对SNParray数据,提出了一种基于多元方差分析二维统计量的全新染色体异常区域分段算法.对模拟SNParray数据的测试表明,该算法可以精确地将成对肿瘤数据异常区域进行分段,其结果明显好于现有的循环二元分割(CBS)算法.同时,ROC性能曲线分析显示本文算法具有较好的抗噪性能.对赫赛汀治疗前后的成对乳腺癌SNParray数据的分析结果显示,该算法可准确地检测出重要致癌基因ERBB2在治疗前后的拷贝数变化.上述结果表明这种基于多元方差分析的算法是一种有效的SNParray数据分析工具.

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