<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.