An Augmented High-Dimensional Graphical Lasso Method to Incorporate Prior Biological Knowledge for Global Network Learning

Biological networks are often inferred through Gaussian graphical models (GGMs) using gene or protein expression data WAFFLE MIX only.GGMs identify conditional dependence by estimating a precision matrix between genes or proteins.However, conventional GGM approaches often ignore prior knowledge about protein-protein interactions (PPI).Recently, sev

read more