Marco Roos

The paper introduces a tool for FAIR metadata creation that improves collaboration, schema adherence, and scalability compared to existing tools.

This paper introduces rd-explainer, a graph-based explainable AI method for drug repurposing in rare diseases, which provides interpretable predictions and explanations through semantic graphs.

This study applies collaborative network analysis to Huntington's disease transcriptomics data to identify enriched pathways and generate hypotheses about disease mechanisms.

The paper introduces the GA4GH Phenopacket schema to standardize the exchange of phenotypic data for precision medicine applications.

Galaxy workflows reproduced SOAPdenovo2 bacterial assembly results almost exactly, while ISA, Nanopublication and Research Object models exposed reporting errors leading to a published correction.