Figure 1From: A framework for personalized medicine: prediction of drug sensitivity in cancer by proteomic profiling Overview of the personalized medicine. In step 1, each classifier is trained by RPPA and sensitivity of corresponding drug. In step 2 and 3, patient's RPPA is tested in each classifier, and the sensitivity of each drug is predicted. As a final step, only the drugs predicted to have low sensitivity are recommended to the patient.Back to article page