Fatima Zohra Smaili

The paper introduces ecCLIP for high-resolution RBP binding maps and Pythia for structure-aware RNA-protein interaction modeling, improving RNA half-life prediction and variant effect assessment.

This paper reviews methods that integrate biomedical ontologies with machine learning to improve similarity computation and model performance using ontology embeddings and constraints.

The paper introduces a method that uses deep Siamese neural networks to normalize biomedical ontologies and improve predictions of protein interactions and gene-disease associations.

The paper evaluates how formal axioms and ontology metadata improve ontology-based predictions of protein-protein interactions and gene-disease associations.