Multi-omics integration and machine learning define an iron-sulfur cluster/zinc-binding protein prognostic signature in esophageal squamous cell carcinoma.
- DOI
- 10.1007/s00335-026-10270-z
- Published
- 2026 Aug 24
- Container
- Mammalian genome : official journal of the International Mammalian Genome Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00335-026-10270-z,
title = {Multi-omics integration and machine learning define an iron-sulfur cluster/zinc-binding protein prognostic signature in esophageal squamous cell carcinoma.},
author = {Chen W and Chen T and Li Z and Lin W and Xie Z and Wu H and Xu L and Li E and Zhang H and Cheng Y},
year = {2026},
journal = {Mammalian genome : official journal of the International Mammalian Genome Society},
doi = {10.1007/s00335-026-10270-z},
url = {https://doi.org/10.1007/s00335-026-10270-z}
}RIS
TY - JOUR TI - Multi-omics integration and machine learning define an iron-sulfur cluster/zinc-binding protein prognostic signature in esophageal squamous cell carcinoma. AU - Chen W AU - Chen T AU - Li Z AU - Lin W AU - Xie Z AU - Wu H AU - Xu L AU - Li E AU - Zhang H AU - Cheng Y PY - 2026 JO - Mammalian genome : official journal of the International Mammalian Genome Society DO - 10.1007/s00335-026-10270-z UR - https://doi.org/10.1007/s00335-026-10270-z ER -
APA
W, C., T, C., Z, L., W, L., Z, X., H, W., L, X., E, L., H, Z., & Y, C. (2026). Multi-omics integration and machine learning define an iron-sulfur cluster/zinc-binding protein prognostic signature in esophageal squamous cell carcinoma.. Mammalian genome : official journal of the International Mammalian Genome Society. https://doi.org/10.1007/s00335-026-10270-z
Source records
- pubmed · retrieved 2026-09-26T00:18:58.072Z