A learning framework to improve unsupervised gene network inference

Keyphrases

• Learning Framework 100%
• Gene Network Inference 100%
• Unsupervised Method 100%
• Gene Regulatory Network 66%
• Biologists 33%
• Neural Network 33%
• Biomedicine 33%
• Computational Social Science 33%
• Support Vector Machine 33%
• Regulatory Circuit 33%
• Training Data 33%
• Feature Selection 33%
• Principal Coordinate Analysis (PCoA) 33%
• Random Forest 33%
• Link Prediction 33%
• Functional Elements 33%
• Network Sampling 33%
• Network Inference 33%
• Training Quality 33%
• Graph Sparsification 33%
• Good Performance 33%
• Mining Problem 33%
• Regulatory Relationship 33%

Computer Science

• Learning Framework 100%
• Network Inference 100%
• Unsupervised Method 100%
• Data Mining 33%
• Neural Network 33%
• Experimental Result 33%
• Training Data 33%
• Feature Selection 33%
• Principal Components 33%
• Component Analysis 33%
• Good Performance 33%
• Random Decision Forest 33%
• Link Prediction 33%
• Functional Element 33%
• Feature Extraction 33%
• Sparsification 33%
• Support Vector Machine 33%