Mohamed Elati

The paper identifies a regulatory network involving ETS1, FOSL1, and SMAD3 that mediates MET exon 14 skipping in lung cancer, showing their role in RAS-ERK pathway activation and potential as therapeutic targets.

This paper introduces GBM-cRegMap, a resource that maps transcriptomic data to a coregulatory network, revealing GBM heterogeneity and identifying key regulators like NKX2.5 involved in TMZ resistance.

This paper integrates machine learning and a mechanistic disease map to infer an executable network for RA, identifying key transcription factors and treatment responses.