FOLLOW THE PATHFINDERS: A CASE STUDY APPROACH TO PRODUCTION, USE, AND READERSHIP ON SCALAR


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 only.GGMs identify conditional dependence by estimating a precision matrix Calendar between genes or proteins.However, conventional GGM approaches often ignore prior knowledge about protein-protein interactions (PPI).Recently, sever

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