Simon C. Baker

DIANNeR improves detection of GR interactomes in normal tissues by integrating DIA, ion mobility, and library-free analysis, revealing context-specific networks and previously undetected interactions.

The paper uses biologically-informed machine learning to identify a new bladder cancer subgroup with NRF2 overactivity, which is clinically actionable and resistant to standard treatments.

The paper introduces an improved DOP-PCR method (iDOP-PCR) that provides better quality DNA amplification for low copy number genomic DNA compared to existing techniques.