CellART: a unified framework for extracting single-cell information from high-resolution spatial transcriptomics

Chen Y, Liu Y, Wang Z, Zeng Y, Chao Z, Jiang P, Chen H, Wang J, Xiao J, Yang C.

DOI: 10.64898/2026.09.03.749294
Published: 2026-09-08
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Cite this work

BibTeX

@article{allodium:10.64898/2026.09.03.749294,
  title = {CellART: a unified framework for extracting single-cell information from high-resolution spatial transcriptomics},
  author = {Chen Y and  Liu Y and  Wang Z and  Zeng Y and  Chao Z and  Jiang P and  Chen H and  Wang J and  Xiao J and  Yang C.},
  year = {2026},
  doi = {10.64898/2026.09.03.749294},
  url = {https://doi.org/10.64898/2026.09.03.749294}
}

RIS

TY  - JOUR
TI  - CellART: a unified framework for extracting single-cell information from high-resolution spatial transcriptomics
AU  - Chen Y
AU  -  Liu Y
AU  -  Wang Z
AU  -  Zeng Y
AU  -  Chao Z
AU  -  Jiang P
AU  -  Chen H
AU  -  Wang J
AU  -  Xiao J
AU  -  Yang C.
PY  - 2026
DO  - 10.64898/2026.09.03.749294
UR  - https://doi.org/10.64898/2026.09.03.749294
ER  -

APA

Y, C., Y, L., Z, W., Y, Z., Z, C., P, J., H, C., J, W., J, X., & C., Y. (2026). CellART: a unified framework for extracting single-cell information from high-resolution spatial transcriptomics. https://doi.org/10.64898/2026.09.03.749294

Source records

europe-pmc · retrieved 2026-09-25T14:11:01.677Z