scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data

Yuyao Zhai, Liang Chen, Minghua Deng

Open source

DOI: 10.1093/bib/bbae188
Published: 2024-03-27
Container: Briefings in Bioinformatics
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbae188,
  title = {scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data},
  author = {Yuyao Zhai and Liang Chen and Minghua Deng},
  year = {2024},
  journal = {Briefings in Bioinformatics},
  doi = {10.1093/bib/bbae188},
  url = {https://doi.org/10.1093/bib/bbae188}
}

RIS

TY  - JOUR
TI  - scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data
AU  - Yuyao Zhai
AU  - Liang Chen
AU  - Minghua Deng
PY  - 2024
JO  - Briefings in Bioinformatics
DO  - 10.1093/bib/bbae188
UR  - https://doi.org/10.1093/bib/bbae188
ER  -

APA

Zhai, Y., Chen, L., & Deng, M. (2024). scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbae188

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crossref · retrieved 2026-11-07T07:38:55.976Z