| --- |
| language: |
| - en |
| base_model: |
| - bioptimus/H-optimus-0 |
| --- |
| |
| # SHEST |
| Single-cell-level artificial intelligence from haematoxylin and eosin morphology for cell type prediction and spatial transcriptomics reconstruction |
|
|
| The source code is available on the following GitHub page: https://github.com/recognizability/shest |
|
|
| ## Citation |
| https://academic.oup.com/bib/article/27/1/bbag037/8488669 |
|
|
| ``` |
| @article{jeong2026shest, |
| title={SHEST: single-cell-level artificial intelligence from haematoxylin and eosin morphology for cell-type prediction and spatial transcriptomics reconstruction}, |
| author={Jeong, Hoyeon and Oh, Junghan and Lee, Donggeon and Kang, Jae Hwan and Choi, Yoon-La}, |
| journal={Briefings in Bioinformatics}, |
| volume={27}, |
| number={1}, |
| pages={bbag037}, |
| year={2026}, |
| publisher={Oxford University Press}, |
| keywords={published, selected}, |
| } |
| ``` |
