A comparative study of supervised machine learning algorithms for the prediction of long-range chromatin interactions

Immunology and Microbiology

• Algorithm 100%
• Supervised Machine Learning 100%
• Chromatin 100%
• Learning 30%
• Cells 20%
• Transcription Factor 20%
• Comprehension 10%
• Cell Line 10%
• Conformation 10%
• Association 10%
• Gene Expression 10%
• Computer Model 10%
• Human Cell 10%
• Support Vector Machine 10%
• Random Forest 10%
• Perceptron 10%
• Decision Tree 10%
• Accuracy 10%

Biochemistry, Genetics and Molecular Biology

• Chromatin 100%
• Supervised Machine Learning 100%
• Learning 30%
• Transcription Factor 20%
• Sequencing 20%
• Cohesin 20%
• Protein 10%
• Comprehension 10%
• Conformation 10%
• Gene Expression 10%
• Association 10%
• Computer Model 10%
• Accuracy 10%
• Support Vector Machine 10%
• Decision Tree 10%
• Taxonomy 10%
• Human Cell 10%
• Random Forest 10%
• Perceptron 10%
• Genome Organization 10%