A learning framework to improve unsupervised gene network inference

Mathematics

• Gene Networks 100%
• Learning 60%
• Classifier 56%
• Gene Regulatory Network 47%
• Framework 38%
• Random Forest 24%
• Feature Selection 22%
• Support Vector Machine 21%
• Social Sciences 19%
• Data Mining 19%
• Principal Component Analysis 17%
• Training 17%
• Experimental Results 16%
• Gene 16%
• Neural Networks 15%
• Predict 15%
• Prediction 13%
• Cell 12%
• Relationships 10%
• Demonstrate 10%
• Performance 9%
• Graph in graph theory 7%

Engineering & Materials Science

• Genes 64%
• Classifiers 47%
• Social sciences 28%
• Random forests 23%
• Principal component analysis 21%
• Data mining 18%
• Support vector machines 17%
• Feature extraction 17%
• Sampling 15%
• Neural networks 13%
• Networks (circuits) 12%