Dynamic Gaussian graphical models for modelling genomic networks

Mathematics

• Graphical Models 100%
• Genomics 100%
• Gaussian Model 98%
• Penalized Maximum Likelihood 78%
• Modeling 55%
• Partial Correlation 39%
• Network Structure 35%
• Pathway 34%
• Sequencing 33%
• Equality Constraints 31%
• Genome 31%
• Convex Optimization 29%
• Gene 27%
• Maximum Likelihood Estimation 26%
• Computational Complexity 26%
• Positive definite 25%
• Entire 24%
• Determinant 23%
• Class 16%
• Model 9%

Engineering & Materials Science

• Maximum likelihood estimation 32%
• Convex optimization 30%
• Genomics 29%
• DNA 29%
• Genes 27%
• Maximum likelihood 26%
• Computational complexity 23%