AN AUGMENTED HIGH-DIMENSIONAL GRAPHICAL LASSO METHOD TO INCORPORATE PRIOR BIOLOGICAL KNOWLEDGE FOR GLOBAL NETWORK LEARNING

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 between genes or proteins.However, conventional GGM approaches often ignore prior knowledge about protein-protein interactions (PPI).Recently, several groups

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Health Literacy Competencies for European Health Care Personnel

Background: Health literacy as a concept is gaining importance in European countries, although it is still not adequately addressed among health personnel.Health literacy supports the self-management of Stool patients in maintaining and improving health, which could decrease the burden on health systems in Europe.However, health professionals lack

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Extended L-Framework: An Innovative Technique for Reconstruction of Low Nasal Dorsum by Autogenous Costal Cartilage Graft

Background:.Congenital, iatrogenic, and traumatic etiologies can produce a deficient nasal dorsum requiring dorsal augmentation.Traditional techniques for dorsal augmentation as onlay dorsal graft, cantilever graft, or conventional L-framework usually have less stability and produce a rigid lobule if the single unit framework extends to the tip.Bec

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