A new statistical method integrates database priors into conditional GGMs via a structured weighted penalty for improved population-level and context-specific PPI network reconstruction, validated in simulations and UK Biobank cardiometabolic proteomics data.
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Prior-informed conditional Gaussian graphical models: an application to protein interaction network reconstruction
A new statistical method integrates database priors into conditional GGMs via a structured weighted penalty for improved population-level and context-specific PPI network reconstruction, validated in simulations and UK Biobank cardiometabolic proteomics data.