A deep learning representation and spatial Bayesian cell-type deconvolution for spatial transcriptomics.

Yang X, Feng Y, Zhao Y, Li H, Chen X

DOI: 10.7717/peerj.21548
Published: 2026
Container: PeerJ
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.7717/peerj.21548,
  title = {A deep learning representation and spatial Bayesian cell-type deconvolution for spatial transcriptomics.},
  author = {Yang X and Feng Y and Zhao Y and Li H and Chen X},
  year = {2026},
  journal = {PeerJ},
  doi = {10.7717/peerj.21548},
  url = {https://doi.org/10.7717/peerj.21548}
}

RIS

TY  - JOUR
TI  - A deep learning representation and spatial Bayesian cell-type deconvolution for spatial transcriptomics.
AU  - Yang X
AU  - Feng Y
AU  - Zhao Y
AU  - Li H
AU  - Chen X
PY  - 2026
JO  - PeerJ
DO  - 10.7717/peerj.21548
UR  - https://doi.org/10.7717/peerj.21548
ER  -

APA

X, Y., Y, F., Y, Z., H, L., & X, C. (2026). A deep learning representation and spatial Bayesian cell-type deconvolution for spatial transcriptomics.. PeerJ. https://doi.org/10.7717/peerj.21548

Source records

pubmed · retrieved 2026-09-25T01:16:10.075Z