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计算机工程 ›› 2011, Vol. 37 ›› Issue (2): 20-21. doi: 10.3969/j.issn.1000-3428.2011.02.007

• 博士论文 • 上一篇    下一篇

基因芯片数据多尺度分析的y~n曲线模型

罗万春?1a,易 东1b,李辉智2,龚利红3   

  1. (1. 第三军医大学a. 数学教研室;b. 卫生统计学教研室,重庆 400038;2. 西南政法大学刑侦学院,重庆 400031;3. 重庆通信学院机电教研室,重庆 400035)
  • 出版日期:2011-01-20 发布日期:2011-01-25
  • 作者简介:罗万春(1971-),男,副教授、博士,主研方向:生物医学预测,优化建模;易 东,教授、博士生导师;李辉智,副教授、硕士;龚利红,讲师、硕士
  • 基金资助:
    国家自然科学基金资助项目“基因时空表达信息多尺度分析方法研究”(30872184)

y~n Curve Model of Multi-scale Analysis to DNA Microarray Data

LUO Wan-chun1a, YI Dong1b, LI Hui-zhi2, GONG Li-hong3   

  1. (1a. Department of Mathematics; 1b. Department of Health Statistics, Third Military Medical University, Chongqing 400038, China; 2. Criminal College, Southwest University of Political Science and Law, Chongqing 400031, China;3. Department of Machine and Electron, Chongqing Communication College, Chongqing 400035, China)
  • Online:2011-01-20 Published:2011-01-25

摘要: 针对离散的基因芯片表达数据难以进行系统分析的问题,提出基因芯片数据的y~n曲线模型,将基因芯片数据转化为唯一的一列信号,从而可以对其进行多尺度分析。对人类胎儿脑发育过程中大脑皮质基因表达基于y~n曲线模型进行小波多尺度降噪,结果证明,y~n曲线的降噪效果比用基因芯片原始数据更好。

关键词: 基因芯片, y~n曲线, 多尺度分析

Abstract: The model of y~n curve is set up to solve the problem that discrete gene chip data are difficult to be systematically analyzed, which makes the data be changed into a row of sole signal, and can be studied by multi-scale analysis. Results of denoising the cerebral cortex gene expression of developing human brain based on wavelet multi-scale analysis show that the denoised effect of y~n curve is better than that of raw data.

Key words: DNA microarray, y~n curve, multi-scale analysis

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