HGATLink: single-cell gene regulatory network inference via the fusion of heterogeneous graph attention networks and transformer
Compared with 10 state-of-the-art GRN inference methods on 14 scRNA-seq datasets under two metrics, AUROC and AUPRC, HGATLink shows good stability and accuracy in gene regulatory network inference tasks.
Authors
- Yao Sun (ORCID: https://orcid.org/0000-0002-6308-0111)
- Jing Gao (ORCID: https://orcid.org/0000-0003-1778-8909)
Institutions
- Inner Mongolia Agricultural University (CN)
- Inner Mongolia University (CN)
- Inner Mongolia Autonomous Region Meteorological Bureau (CN)
- Inner Mongolia Autonomous Region Hospital of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-02-11
- DOI
- https://doi.org/10.1186/s12859-025-06071-x
- Citations
- 4
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 3.22