Richard Greg Stacey

This study evaluates the robustness of graph-based clustering algorithms to network noise in protein-protein interaction networks and introduces a tool to assess cluster reproducibility.

This study maps the dynamic changes in the human protein-protein interaction network induced by interferon signaling, revealing novel regulatory mechanisms and functional contexts for interferon-stimulated genes.

The paper shows that many literature-curated protein interactions are not valid under specific experimental conditions and recommends using condition-specific subsets as gold standards.

This study maps protein-protein interactions across seven mouse tissues, revealing over 27,000 unique interactions and showing rewiring of interactions that is not predicted by gene expression.

PrInCE is a bioinformatics pipeline that predicts protein interactomes from co-elution data, offering faster and more accurate results than existing tools.