scReGAT: Leveraging Knowledge of Regulatory Interactions to Predict Long-range Gene Regulation at Single-cell Resolution.

Wen B, Dang Y, Zhang Y, Long Y, Tian W

DOI: 10.1093/gpbjnl/qzag072
Published: 2026 Jul 28
Container: Genomics, proteomics & bioinformatics
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/gpbjnl/qzag072,
  title = {scReGAT: Leveraging Knowledge of Regulatory Interactions to Predict Long-range Gene Regulation at Single-cell Resolution.},
  author = {Wen B and Dang Y and Zhang Y and Long Y and Tian W},
  year = {2026},
  journal = {Genomics, proteomics \& bioinformatics},
  doi = {10.1093/gpbjnl/qzag072},
  url = {https://doi.org/10.1093/gpbjnl/qzag072}
}

RIS

TY  - JOUR
TI  - scReGAT: Leveraging Knowledge of Regulatory Interactions to Predict Long-range Gene Regulation at Single-cell Resolution.
AU  - Wen B
AU  - Dang Y
AU  - Zhang Y
AU  - Long Y
AU  - Tian W
PY  - 2026
JO  - Genomics, proteomics & bioinformatics
DO  - 10.1093/gpbjnl/qzag072
UR  - https://doi.org/10.1093/gpbjnl/qzag072
ER  -

APA

B, W., Y, D., Y, Z., Y, L., & W, T. (2026). scReGAT: Leveraging Knowledge of Regulatory Interactions to Predict Long-range Gene Regulation at Single-cell Resolution.. Genomics, proteomics & bioinformatics. https://doi.org/10.1093/gpbjnl/qzag072

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pubmed · retrieved 2026-09-25T02:17:40.229Z