AI-powered genomic mutation signature for predicting immune checkpoint inhibitor therapy outcomes in gastroesophageal cancer: a multi-cohort analysis.

Yang B, Cheng C, Zhou J, Ni H, Liu H, Fu Y, Li R

DOI: 10.1007/s12672-024-01400-7
Published: 2024 Sep 29
Container: Discover oncology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s12672-024-01400-7,
  title = {AI-powered genomic mutation signature for predicting immune checkpoint inhibitor therapy outcomes in gastroesophageal cancer: a multi-cohort analysis.},
  author = {Yang B and Cheng C and Zhou J and Ni H and Liu H and Fu Y and Li R},
  year = {2024},
  journal = {Discover oncology},
  doi = {10.1007/s12672-024-01400-7},
  url = {https://doi.org/10.1007/s12672-024-01400-7}
}

RIS

TY  - JOUR
TI  - AI-powered genomic mutation signature for predicting immune checkpoint inhibitor therapy outcomes in gastroesophageal cancer: a multi-cohort analysis.
AU  - Yang B
AU  - Cheng C
AU  - Zhou J
AU  - Ni H
AU  - Liu H
AU  - Fu Y
AU  - Li R
PY  - 2024
JO  - Discover oncology
DO  - 10.1007/s12672-024-01400-7
UR  - https://doi.org/10.1007/s12672-024-01400-7
ER  -

APA

B, Y., C, C., J, Z., H, N., H, L., Y, F., & R, L. (2024). AI-powered genomic mutation signature for predicting immune checkpoint inhibitor therapy outcomes in gastroesophageal cancer: a multi-cohort analysis.. Discover oncology. https://doi.org/10.1007/s12672-024-01400-7

Source records

pubmed · retrieved 2026-11-10T09:41:04.939Z