The ultimate goal of the project is to identify molecular features (MFs) that can be predictive of a particular disease phenotype through machine learning solutions. Such an identification will contribute towards more accurate diagnosis or prognosis and may provide clinicians and caretakers the opportunity to provide a more personalized treatment in the future.
Epigenetic signatures for complex diseases
Signatures for complex diseases using machine learning
Participating organisations
Team
Contact person
Sonja Georgievska
Senior eScience Research Engineer
Netherlands eScience Center
0000-0002-8094-4532
Mail SonjaPH
Peter Henneman
ALY
Andrew Yung Fong Li Yim
AM
Adri Mul
AV
Andrea Venera
EvdL
Eva L. van der Linden