Benchmarking ensemble machine learning algorithms for multi-class, multi-omics data integration in clinical outcome prediction

Abstract The complementary information found in different modalities of patient data can aid in more accurate modelling of a patient’s disease state and a better understanding of the underlying biological processes of a disease. However, the analysis of multi-modal, multi-omics data presents many ch...

Ausführliche Beschreibung