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When to use class assignment analysis for gene expression microarray data

Dear all,

I wonder is it true that we can use class assignment analysis (supervised analysis) with one of the prediction methods (Support Vector Machine, Prediction Analysis for Microarrays aka PAM,...) to detect a list of frequently selected genes and consider them as the biomarkers for diagnosis and/or prediction?

Besides, I would like to know more about the applications of this statistical technique. Please give me your suggestions.

Any help is appreciated.

Thank you.

r gene expression machine learning

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