Standard models that succeed on individual proteomic datasets fail on their combination, leading to a proposed class of fusion methods that account for data heterogeneity.
Proteomic ap- proaches to biomarker discovery in prostate and bladder canc ers
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Learning predictive models for combinations of heterogeneous proteomic data sources
Standard models that succeed on individual proteomic datasets fail on their combination, leading to a proposed class of fusion methods that account for data heterogeneity.