GATv2EPI: Predicting Enhancer–Promoter Interactions with a Dynamic Graph Attention Network
GATv2EPI enhances EPI prediction accuracy by capturing complex topological structure information from gene regulatory networks through graph neural networks. Additionally, our results emphasize the importance of epigenetic features surrounding enhancers and promoters in EPI prediction.
Authors
- Xingjie Zhao
- Tianjiao Zhang (ORCID: https://orcid.org/0000-0001-9807-8620)
- Xiaoqi Liu (ORCID: https://orcid.org/0000-0002-6613-1746)
- Hao Sun (ORCID: https://orcid.org/0000-0003-4488-5579)
- Bo Gao
Institutions
- Harbin Medical University (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
- Northeast Forestry University (CN)
Publication Details
- Journal
- Genes
- Published
- 2024-11-25
- DOI
- https://doi.org/10.3390/genes15121511
- Citations
- 5
- Primary Topic
- Genomics and Chromatin Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 1.17
Funders
- National Natural Science Foundation of China