A genomic/proteomic test synthesis method includes receiving a genomic/proteomic data set (12) comprising samples corresponding to persons with each sample including values of features of a set of features derived from genomic/proteomic data for the corresponding person. For each feature, univariate analysis (30) is performed to generate a sample density versus feature value data set for the feature, for example represented as a kernel density estimate (KDE) (52). Multivariate analysis (32, 34) is performed on the features using the KDEs to generate a set of discriminative features (36, 38). In one example, the multivariate analysis (32) uses energy spectral density (ESD) characteristics of the KDEs. In another example, the multivariate analysis (34) uses peak location characteristics of the KDEs.
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