Machine learning model for sequence-driven DNA G-quadruplex formation
We describe a sequence-based computational model to predict DNA G-quadruplex (G4) formation. The model was developed using large-scale machine learning from an extensive experimental G4-formation dataset, recently obtained for the human genome via G4-seq methodology. Our model differentiates many wi...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Springer Nature
2017
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