An interpretable deep learning framework for revealing fine-grained spatial domains.

Feng X, Wang C, Cao B, Wang Y, Chen L, Qi J, Qu Y, Wang J, Xu Y, Zeng A, Gao X, Guan R

Open source

DOI
10.1016/j.crmeth.2026.101646
Published
2026 Oct 30
Container
Cell reports methods
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.crmeth.2026.101646,
  title = {An interpretable deep learning framework for revealing fine-grained spatial domains.},
  author = {Feng X and Wang C and Cao B and Wang Y and Chen L and Qi J and Qu Y and Wang J and Xu Y and Zeng A and Gao X and Guan R},
  year = {2026},
  journal = {Cell reports methods},
  doi = {10.1016/j.crmeth.2026.101646},
  url = {https://doi.org/10.1016/j.crmeth.2026.101646}
}

RIS

TY  - JOUR
TI  - An interpretable deep learning framework for revealing fine-grained spatial domains.
AU  - Feng X
AU  - Wang C
AU  - Cao B
AU  - Wang Y
AU  - Chen L
AU  - Qi J
AU  - Qu Y
AU  - Wang J
AU  - Xu Y
AU  - Zeng A
AU  - Gao X
AU  - Guan R
PY  - 2026
JO  - Cell reports methods
DO  - 10.1016/j.crmeth.2026.101646
UR  - https://doi.org/10.1016/j.crmeth.2026.101646
ER  -

APA

X, F., C, W., B, C., Y, W., L, C., J, Q., Y, Q., J, W., Y, X., A, Z., X, G., & R, G. (2026). An interpretable deep learning framework for revealing fine-grained spatial domains.. Cell reports methods. https://doi.org/10.1016/j.crmeth.2026.101646

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