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Self-supervised plasma proteomic representations for prospective disease prediction across varying protein availability

Nam, Y. et al.
bioRxiv / medRxiv · Papers
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health-informatics
Large-scale plasma proteomics offers opportunities to characterize disease susceptibility and improve prospective risk prediction, but transferring proteomic predictors across datasets remains challenging because measured protein sets differ across cohorts, study phases and assay configurations. Her
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