DeepPolyA: A Convolutional Neural Network Approach for Polyadenylation Site Prediction

Engineering & Materials Science

• Gene expression 100%
• Convolutional neural networks 82%
• Deep neural networks 44%
• Genes 43%
• Proteins 41%
• Deep learning 40%
• Machine learning 33%
• Messenger RNA 32%
• Metabolism 28%
• Genomics 23%
• Network architecture 21%
• Learning algorithms 18%
• Availability 16%

Chemical Compounds

• Messenger RNA 60%
• Protein 37%
• Pharmacological Metabolism 35%