Proteomics biomarker discovery for individualized prevention of familial pancreatic cancer using statistical learning.
Chung Shing Rex HaMartina Müller-NuraysidAgnese PetreraStefanie M HauckFederico MariniDetlef K BartschEmily P SlaterKonstantin StrauchPublished in: PloS one (2023)
Advanced statistical learning methods helped us overcome the shortcomings of an unbalanced study design in a valuable clinical dataset. The discovered serum biomarkers provide us with a clear direction for further investigations and more precise clinical hypotheses regarding the development of FPC and optimal strategies for its early detection.