Maureen R. Hanson

The paper shows accessory proteins enhance RNA editing efficiency by increasing PPR factor affinity for target RNA in bacterial systems.

This study uses a deep learning framework to analyze whole-genome data from ME/CFS patients, identifying risk genes and linking them to disease symptoms and other complex traits.

This study examines changes in extracellular vesicle protein cargo in ME/CFS patients and sedentary controls after maximal exercise, finding distinct proteomic responses linked to symptom severity.

The paper presents a deep learning approach for somatic mutation calling using semi-simulated data, achieving high performance on RNA-Seq and exome datasets.