A two-stage approach of gene network analysis for high-dimensional heterogeneous data

Mathematics

• Gene Networks 100%
• Network Analysis 88%
• High-dimensional 54%
• Graphical Models 47%
• Gaussian Model 46%
• Gene Expression 33%
• High-dimensional Data 30%
• Integrate 28%
• Learning 24%
• Clustering Analysis 20%
• Model-based Clustering 19%
• Gene Regulatory Network 19%
• Partial Correlation 18%
• Clustering Methods 18%
• Lung 17%
• Gene Expression Data 17%
• Cohort Study 17%
• Unknown 17%
• False Positive 17%
• Biomarkers 17%
• Microarray 17%
• Confounding 16%
• Batch 14%
• Singular value decomposition 14%
• Correlation coefficient 14%
• Assign 13%
• Target 11%
• Gaussian distribution 11%
• Robustness 11%
• Simulation 8%
• Demonstrate 8%
• Performance 7%
• Model 4%

Business & Economics

• Network Analysis 93%
• Gene 59%
• Gene Expression 47%
• Graphical Models 46%
• Singular Value Decomposition 19%
• Microarray 17%
• Lung 16%
• Cohort Study 15%
• Clustering Analysis 14%
• Learning Methods 13%
• Robustness 13%
• Confounding 12%
• Correlation Coefficient 11%
• Batch 11%
• Clustering 10%
• Factors 7%
• Simulation 7%
• Performance 4%

Medicine & Life Sciences

• Gene Regulatory Networks 73%
• Gene Expression 20%
• Cluster Analysis 20%
• Learning 16%
• Normal Distribution 13%
• Adenocarcinoma of Lung 12%
• Regulator Genes 11%
• Psychological Power 10%
• Cohort Studies 7%
• Biomarkers 7%
• Therapeutics 3%