Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks.

Mao G, Pang Z, Zuo K, Wang Q, Pei X, Chen X, Liu J

DOI: 10.1093/bib/bbad414
Published: 2023 Sep 22
Container: Briefings in bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbad414,
  title = {Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks.},
  author = {Mao G and Pang Z and Zuo K and Wang Q and Pei X and Chen X and Liu J},
  year = {2023},
  journal = {Briefings in bioinformatics},
  doi = {10.1093/bib/bbad414},
  url = {https://doi.org/10.1093/bib/bbad414}
}

RIS

TY  - JOUR
TI  - Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks.
AU  - Mao G
AU  - Pang Z
AU  - Zuo K
AU  - Wang Q
AU  - Pei X
AU  - Chen X
AU  - Liu J
PY  - 2023
JO  - Briefings in bioinformatics
DO  - 10.1093/bib/bbad414
UR  - https://doi.org/10.1093/bib/bbad414
ER  -

APA

G, M., Z, P., K, Z., Q, W., X, P., X, C., & J, L. (2023). Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbad414

Source records

pubmed · retrieved 2026-09-25T07:13:24.401Z
europe-pmc · retrieved 2026-09-25T07:13:24.410Z