Normalization strategy of microarray gene expression data

伍亚舟; 张玲; 黄明辉; 杨梦苏; 易东

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Normalization strategy of microarray gene expression data

Updated：2026-03-12

- Normalization strategy of microarray gene expression data
- Normalization strategy of microarray gene expression data
- 解放军医学杂志（英文版） 2007年第4期页码：195-200
- Affiliations：
  
  1. Department of Health Statistics Third Military Medical University
  2. ,Shenzhen,518000
  3. Shenzhen Institute
  4. City University of HongKong
- Author bio：
- Funds：
  
  the National Natural Science Foundation of China（No. 60371034）;the Scientific Research Foundation of Third Military Medical University（2007XG20）
- DOI：
  中图分类号： R346
- 纸质出版：2007
- Accepted：
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Normalization strategy of microarray gene expression data[J]. 解放军医学杂志（英文版）, 2007,(4):195-200.

[1]伍亚舟,张玲,黄明辉,杨梦苏,易东.Normalization strategy of microarray gene expression data[J].Journal of Medical Colleges of PLA,2007(04):195-200.
Normalization strategy of microarray gene expression data[J]. 解放军医学杂志（英文版）, 2007,(4):195-200. DOI：

[1]伍亚舟,张玲,黄明辉,杨梦苏,易东.Normalization strategy of microarray gene expression data[J].Journal of Medical Colleges of PLA,2007(04):195-200. DOI：

摘要

Abstract

<正>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.

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