A framework for personalized medicine: prediction of drug sensitivity in cancer by proteomic profiling

Proteome Science(2012)

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摘要
The goal of personalized medicine is to provide patients optimal drug screening and treatment based on individual genomic or proteomic profiles. Reverse-Phase Protein Array (RPPA) technology offers proteomic information of cancer patients which may be directly related to drug sensitivity. For cancer patients with different drug sensitivity, the proteomic profiling reveals important pathophysiologic information which can be used to predict chemotherapy responses.
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关键词
Bayesian Network,Random Forest,Personalized Medicine,Drug Sensitivity,Class Variable
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