Inference of Gene Regulatory Networks with Sparse Structural Equation Models Exploiting Genetic Perturbations

Keyphrases

• Partial Least Squares Structural Equation Modeling (PLS-SEM) 100%
• Gene Regulatory Network 100%
• Sparsity-aware 100%
• Genetic Perturbation 100%
• Maximum Likelihood Method 66%
• Maximum Likelihood 33%
• Gene Expression Data 33%
• Expression Quantitative Trait Loci (eQTL) 33%
• Directed Dependency 33%
• Adaptive Lasso 33%
• Cyclic Network 33%
• Dependency Graph 33%
• Gene Expression 16%
• Computer Program 16%
• Immune Function 16%
• Human Genes 16%
• Two-state 16%
• Freely Available 16%
• Gene Regulating 16%
• Inference Methods 16%
• Graphical Method 16%
• Accuracy Improvement 16%
• Gene number 16%
• Model Estimation 16%
• New Interaction 16%
• Biological Evidence 16%
• Graph Algorithms 16%
• False Discovery Rate 16%
• Desiderata 16%
• Detection Power 16%
• Per Genes 16%
• Directed Acyclic Network 16%
• Acyclic Network 16%
• Network Topology Inference 16%
• Gene Perturbation 16%
• Effective Means 16%

Computer Science

• Sparsity 100%
• Structural Equation Model 100%
• maximum-likelihood 83%
• Gene Expression Data 33%
• Dependency Graph 33%
• Open Source 16%
• Graph Algorithms 16%
• False Discovery 16%
• Network Topology 16%
• Experimental Evidence 16%
• Resulting Network 16%
• Source Computer 16%
• Computer Simulation 16%
• Inference Method 16%
• Maximum Likelihood Method 16%

Biochemistry, Genetics and Molecular Biology

• Biological Evidence 33%