Marina Esteban‐Medina

This study shows that complex domain adaptation models do not outperform simple gradient boosting models in predicting single-cell anti-cancer drug sensitivity.

The paper presents a computational framework for analyzing SARS-CoV-2-host interactions to identify drug targets and model disease mechanisms.

The paper presents a web interface for a mechanistic model of the SARS-CoV-2 disease map to infer gene expression-related activities and study intervention effects.

This study uses machine learning and mechanistic models to predict therapeutic targets related to Fanconi anemia, identifying over 20 potential targets.