INDIGENA: Inductive Prediction of Disease-Gene Associations

INDIGENA is an inductive machine learning method designed to predict gene-disease associations (GDAs) using phenotype ontologies. It maps phenotype axioms to a graph structure to create latent representations, enabling generalization to novel diseases.