Mark Kon

BowSaw identifies high-order trait interactions linked to complex phenotypes using random forest structure, revealing microbial combinations associated with Crohn's disease.

This study uses machine learning to identify factors associated with opioid cessation in individuals with OUD, finding that less recent cocaine use, shorter opioid duration, and older age are strongest predictors.

The paper uses machine learning to infer missing edges and interaction mechanisms in microbial networks using trait-level data.

The paper investigates TP53 intronic half-sites and their potential role in p53 regulation across multiple genes.