[Application of new method for data processing in metabonomic studies].
AIM: To search for and application of new method for data processing in metabonomic studies. METHODS: The paper proposed that in the processing of metabonomic data, robust PCA method can be used to diagnose outliers; and unstable variables judged by comparison between difference within class and difference among classes should be excluded before data analysis; moreover, the data should be properly scaled before further processing. The proposed methods were used to preprocess metabolomic data of four genotypes of the Arabidopsis thaliana plants. RESULTS AND CONCLUSION: The outcome demonstrated that the application of these methods can obviously improve clustering and biomarker identifying results.
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