EPI-Trans: an effective transformer-based deep learning model for enhancer promoter interaction prediction
Abstract Background Recognition of enhancer–promoter Interactions (EPIs) is crucial for human development. EPIs in the genome play a key role in regulating transcription. However, experimental approaches for classifying EPIs are too expensive in terms of effort, time, and resources. Therefore, more...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-06-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-024-05784-9 |