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.