Normalization strategies for microarray data / 第三军医大学学报

ABSTRACT

Objective To design a set of software Gene_Norm for the data processing of genechips by normalization methods. Methods Hybridization spots were divided into two groups: "good" and "bad". Turn on off spots were extracted from the "bad" spots. Normalization processing of data was performed by using average ratio. Results Application of Gene_Norm in the processing of high density microarray data (10 080 spots, 42 records of each spot) resulted in satisfactory processing results. Conclusion The software of genechip can be used to process large amount of data. Some parameters can be chosen manually, so the software is of simple operation and wide application.