Vinicio Armijos‐Jaramillo

This paper introduces a machine learning framework to classify phylogenetic patterns in interkingdom horizontal gene transfer, achieving high accuracy and outperforming existing methods.

CompScore improves structure-based virtual screening by integrating docking scoring function components into consensus scoring, achieving higher enrichment across 102 targets.

ShadowCaster detects horizontal gene transfer events in prokaryotes by combining compositional features with phylogenetic models, achieving high accuracy in both artificial and bacterial genomes.