Machine Learning Modelling, Single-Cell Landscape Profiling and Spatial Transcriptomics Provide New Insights Into SUMOylation in Head and Neck Squamous Cell Carcinoma.
- DOI
- 10.1049/syb2.70082
- Published
- 2026 Jan-Dec
- Container
- IET systems biology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1049/syb2.70082,
title = {Machine Learning Modelling, Single-Cell Landscape Profiling and Spatial Transcriptomics Provide New Insights Into SUMOylation in Head and Neck Squamous Cell Carcinoma.},
author = {Fang Z and Mei K and Liu J and Zhou W and Li T and Zhang H and Cao C},
year = {2026},
journal = {IET systems biology},
doi = {10.1049/syb2.70082},
url = {https://doi.org/10.1049/syb2.70082}
}RIS
TY - JOUR TI - Machine Learning Modelling, Single-Cell Landscape Profiling and Spatial Transcriptomics Provide New Insights Into SUMOylation in Head and Neck Squamous Cell Carcinoma. AU - Fang Z AU - Mei K AU - Liu J AU - Zhou W AU - Li T AU - Zhang H AU - Cao C PY - 2026 JO - IET systems biology DO - 10.1049/syb2.70082 UR - https://doi.org/10.1049/syb2.70082 ER -
APA
Z, F., K, M., J, L., W, Z., T, L., H, Z., & C, C. (2026). Machine Learning Modelling, Single-Cell Landscape Profiling and Spatial Transcriptomics Provide New Insights Into SUMOylation in Head and Neck Squamous Cell Carcinoma.. IET systems biology. https://doi.org/10.1049/syb2.70082
Source records
- pubmed · retrieved 2026-11-10T14:05:37.685Z