Impact of data quality on deep learning prediction of spatial transcriptomics from histology images

Caleb Hallinan, Calixto-Hope G. Lucas, Jean Fan

Open source

DOI: 10.1186/s13059-026-04236-2
Published: 2026-08-11
Container: Genome Biology
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/s13059-026-04236-2,
  title = {Impact of data quality on deep learning prediction of spatial transcriptomics from histology images},
  author = {Caleb Hallinan and Calixto-Hope G. Lucas and Jean Fan},
  year = {2026},
  journal = {Genome Biology},
  doi = {10.1186/s13059-026-04236-2},
  url = {https://doi.org/10.1186/s13059-026-04236-2}
}

RIS

TY  - JOUR
TI  - Impact of data quality on deep learning prediction of spatial transcriptomics from histology images
AU  - Caleb Hallinan
AU  - Calixto-Hope G. Lucas
AU  - Jean Fan
PY  - 2026
JO  - Genome Biology
DO  - 10.1186/s13059-026-04236-2
UR  - https://doi.org/10.1186/s13059-026-04236-2
ER  -

APA

Hallinan, C., Lucas, C. G., & Fan, J. (2026). Impact of data quality on deep learning prediction of spatial transcriptomics from histology images. Genome Biology. https://doi.org/10.1186/s13059-026-04236-2

Source records

crossref · retrieved 2026-11-10T12:16:54.457Z