Normalization strategy of microarray gene expression data

被引：0
|
作者：
伍亚舟 [1 ]
张玲 [1 ]
黄明辉 [2 ]
杨梦苏 [2 ]
易东 [1 ]
机构：
[1] Department of Health Statistics,Third Military Medical University,Chongqing 400038,China
[2] Shenzhen Institute,City University of HongKong,Shenzhen 518000,China
来源：
Military Medical Research | 2007年 / 04期
基金：
中国国家自然科学基金;
关键词：
gene chip; normalization factor; expression ratio; significant difference;
D O I：
暂无
中图分类号：
R346 [];
学科分类号：
1001 ;
摘要：
Objective:To discuss strategies and methods of normalization on how to deal with and ana- lyze data for different chips with the combination of statistics,mathematics and hioinformatics in order to find significant difference genes.Methods:With Excel and SPSS software,high or low density chips were analyzed through total intensity normalization(TIN)and locally weighted linear regression normalization (LWLRN).Results:These methods effectively reduced systemic errors and made data more comparable and reliable.Conclusion:These methods can search the genes of significant difference,although normal- ization methods are being developed and need to be improved further.Great breakthrough will be obtained in microarray data normalization analysis and transformation with the development of non-linear technolo- gy,software and hardware of computer.
引用
收藏
页码：195 / 200
页数：6
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