中国生物工程杂志

Microarray technology are being performed more widely than ever before on many areas in lifescience, although the technology is still evolving, the challenge of performing a microarray experiment is no longer in the data generation, but in extracting useful information and utilizing it to get the results with biological meanings.Some methods and tools used for  expressional microarray data mining based on previous work were summarized. These methods include gene clustering ,GO analysis ,regulating pathway analysis, and related algorithm. We hope this can be helpful for those researchers who are implementing expressional microarray for biological analysis.