Machine learning model for sequence-driven DNA G-quadruplex formation
Abstract 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 differentiate...
Main Authors: | Aleksandr B. Sahakyan, Vicki S. Chambers, Giovanni Marsico, Tobias Santner, Marco Di Antonio, Shankar Balasubramanian |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2017-11-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-017-14017-4 |
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