Integrative graph deep learning with directional decoding for robust gene regulatory network inference from single-cell transcriptomics.

Tang B, Feng Y, Gao X, Mao M, Zhang Y.

DOI: 10.1631/jzus.b2500424
Published: 2026-09-22
Container: J Zhejiang Univ Sci B
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1631/jzus.b2500424,
  title = {Integrative graph deep learning with directional decoding for robust gene regulatory network inference from single-cell transcriptomics.},
  author = {Tang B and  Feng Y and  Gao X and  Mao M and  Zhang Y.},
  year = {2026},
  journal = {J Zhejiang Univ Sci B},
  doi = {10.1631/jzus.b2500424},
  url = {https://doi.org/10.1631/jzus.b2500424}
}

RIS

TY  - JOUR
TI  - Integrative graph deep learning with directional decoding for robust gene regulatory network inference from single-cell transcriptomics.
AU  - Tang B
AU  -  Feng Y
AU  -  Gao X
AU  -  Mao M
AU  -  Zhang Y.
PY  - 2026
JO  - J Zhejiang Univ Sci B
DO  - 10.1631/jzus.b2500424
UR  - https://doi.org/10.1631/jzus.b2500424
ER  -

APA

B, T., Y, F., X, G., M, M., & Y., Z. (2026). Integrative graph deep learning with directional decoding for robust gene regulatory network inference from single-cell transcriptomics.. J Zhejiang Univ Sci B. https://doi.org/10.1631/jzus.b2500424

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europe-pmc · retrieved 2026-11-10T10:13:00.195Z