Class-balanced negative training sets for improving classifier model predictions of enhancer-promoter interactions
Abstract Background Enhancers regulate gene expression by forming DNA loops, thereby bringing themselves in close proximity to the target gene promoter. The human genome contains hundreds of thousands of enhancers, vastly outnumbering its 20,000–25,000 protein-coding genes, highlighting the importan...
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| Main Authors: | Osamu Maruyama, Tsukasa Koga |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-06-01
|
| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-025-06171-8 |
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