Enrique Garcia-Rivera

The paper identifies a small molecule, BRD1732, that is ubiquitinated in cells, leading to proteasome inhibition through accumulation of ubiquitin chains.

This study uses a literature-derived knowledge graph to improve scRNA-seq annotation by leveraging gene-cell type associations from biomedical texts.

The paper uses a data science platform to integrate biomedical text and single-cell RNA-seq data to identify new SARS-CoV-2 receptor expression patterns and potential infection targets.

This paper uses temporally-enabled word embeddings to recapitulate and predict disease-gene associations from OMIM data, achieving high AUC and predicting some associations before their first literature mention.