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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 Strauch
Published 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.
Keyphrases
  • mass spectrometry
  • small molecule
  • early onset
  • single cell
  • label free