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As an intermediate R user, you’ll find that the BioAge README file provides comprehensive guidance on how to adapt the code for custom biomarkers. Specifically, look for the sections detailing how to specify biomarkers for analysis; in your case, you’ll replace the default biomarker list with your own selection (WBC, MCV, RDW, Lymphocyte, Creatinin, total cholesterol, HbA1c).

Yes, you should train the algorithm and then project it onto your "Bio_v1n" dataset.

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Answer selected by dayoonkwon
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