Adrià Fernández‐Torras

The paper introduces a protocol to integrate diverse bioactivity data into the Chemical Checker compound universe, enabling the generation of novel bioactivity signatures for small molecules.

The paper introduces Bioteque, a large-scale biomedical knowledge graph resource that provides pre-calculated descriptors for downstream machine learning tasks.

The paper develops a network-based method to identify gene modules associated with drug response in cancer cell lines, improving interpretability and reducing noise in transcriptomic signatures.