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基于小波分析的肿瘤基因表达信号突变点检测
引用本文:陈军,伍亚舟,易东.基于小波分析的肿瘤基因表达信号突变点检测[J].计算机工程与应用,2010,46(25):211-213.
作者姓名:陈军  伍亚舟  易东
作者单位:第三军医大学 卫生统计教研室,重庆 400038
基金项目:国家自然科学基金,第三军医大学科研创新基金 
摘    要:对某肿瘤组织细胞基因表达信号进行突变点检测,分析可疑突变基因,为医学诊断提供参考。先去除原始基因表达信号的高频部分,再对低频进行小波分析,结合模极大值原理检测出各试验细胞所对应的突变基因点。小波变换能方便而有效地检测出信号的突变成分,它在对肿瘤基因表达信号奇异点进行检测和分析方面是有效的,结论具有一定的医学参考意义。

关 键 词:基因表达  小波分析  突变点  模极大值  
收稿时间:2009-4-7
修稿时间:2009-6-10  

Detection to singularity spot of cancer gene expression signals based on wavelet analysis
CHEN Jun,WU Ya-zhou,YI Dong.Detection to singularity spot of cancer gene expression signals based on wavelet analysis[J].Computer Engineering and Applications,2010,46(25):211-213.
Authors:CHEN Jun  WU Ya-zhou  YI Dong
Affiliation:Department of Medical Statistics,Third Military Medical University,Chongqing 400038,China
Abstract:To detect singularity spot of gene expression signals of cancer cell organization, the doubtful break gene can be analyzed and a reference to medicinal diagnoses is given.After getting rid of high frequency of original gene expression signals, singularity gene spot of each experiment cell is detected via giving wavelet analysis to low frequency, combining the principium of module maximum.Wavelet analysis can detect the singularity component of signals expediently and effectively. It is effective in detecting and analyzing expression signals of cancer cell.The conclusion has significance to medicinal reference.
Keywords:gene expression  wavelet analysis  singularity spot  module maximum
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