An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study.
Roderick C SliekerMagnus M MünchLouise A DonnellyGerard A BoulandIulian DraganDmitry KuznetsovPetra J M EldersGuy A RutterMark IbbersonEwan R PearsonLeendert M 't HartMark A van de WielJoline Wilhelma Johanna BeulensPublished in: Diabetologia (2024)
Summary statistics of lipidomic, proteomic and metabolomic data are available from a Shiny dashboard at https://rhapdata-app.vital-it.ch .