CoxFormer enables spatial omics inference with multimodal generative modeling
- DOI
- 10.1038/s41467-026-76404-8
- Published
- 2026-08-20
- Container
- Nature Communications
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1038/s41467-026-76404-8,
title = {CoxFormer enables spatial omics inference with multimodal generative modeling},
author = {Yiyang Yang and Xu Liao and Haoyu Zhang and Yida Wu and Yuling Jiao and Xiaobo Sun and Yao Wang and Tianshu Yu and Jin Liu},
year = {2026},
journal = {Nature Communications},
doi = {10.1038/s41467-026-76404-8},
url = {https://doi.org/10.1038/s41467-026-76404-8}
}RIS
TY - JOUR TI - CoxFormer enables spatial omics inference with multimodal generative modeling AU - Yiyang Yang AU - Xu Liao AU - Haoyu Zhang AU - Yida Wu AU - Yuling Jiao AU - Xiaobo Sun AU - Yao Wang AU - Tianshu Yu AU - Jin Liu PY - 2026 JO - Nature Communications DO - 10.1038/s41467-026-76404-8 UR - https://doi.org/10.1038/s41467-026-76404-8 ER -
APA
Yang, Y., Liao, X., Zhang, H., Wu, Y., Jiao, Y., Sun, X., Wang, Y., Yu, T., & Liu, J. (2026). CoxFormer enables spatial omics inference with multimodal generative modeling. Nature Communications. https://doi.org/10.1038/s41467-026-76404-8
Source records
- crossref · retrieved 2026-09-25T23:24:37.525Z