Application of new method for data processing in metabonomic studies / 药学学报

ABSTRACT

<p><b>AIM</b>To search for and application of new method for data processing in metabonomic studies.</p><p><b>METHODS</b>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.</p><p><b>RESULTS AND CONCLUSION</b>The outcome demonstrated that the application of these methods can obviously improve clustering and biomarker identifying results.</p>