Sequence2Vec: A novel embedding approach for modeling transcription factor binding affinity landscape

Computer Science

• Feature Space 100%
• Hidden Markov Models 100%
• Machine Learning 50%
• High Throughput 50%
• Message Passing 50%
• Graphical Model 50%
• Molecular Mechanism 50%
• Binding Sequence 50%
• Embedding Algorithm 50%
• Range Dependency 50%
• Deep Learning 50%
• Predictive Model 50%

Keyphrases

• Binding Affinity Prediction 100%
• Embedding Learning 50%
• Sequence Embedding 50%
• Space Embedding 50%
• Comprehensive Experiment 50%
• Position-specific 50%
• Alternative Machines 50%

Biochemistry, Genetics and Molecular Biology

• Transcription Factor 100%
• Binding Affinity 100%
• DNA Binding 40%
• Hidden Markov Model 20%
• Gene Control 20%
• Position 20%
• Strength 20%