Utilizing cohort-level and individual networks to predict best response in patients with metastatic triple negative breast cancer.

Bottomly D, Zheng C, Creason AL, Mitri ZI, Mills GB, McWeeney SK

Open source

DOI
10.1038/s41698-025-00959-w
Published
2025 Jun 13
Container
NPJ precision oncology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41698-025-00959-w,
  title = {Utilizing cohort-level and individual networks to predict best response in patients with metastatic triple negative breast cancer.},
  author = {Bottomly D and Zheng C and Creason AL and Mitri ZI and Mills GB and McWeeney SK},
  year = {2025},
  journal = {NPJ precision oncology},
  doi = {10.1038/s41698-025-00959-w},
  url = {https://doi.org/10.1038/s41698-025-00959-w}
}

RIS

TY  - JOUR
TI  - Utilizing cohort-level and individual networks to predict best response in patients with metastatic triple negative breast cancer.
AU  - Bottomly D
AU  - Zheng C
AU  - Creason AL
AU  - Mitri ZI
AU  - Mills GB
AU  - McWeeney SK
PY  - 2025
JO  - NPJ precision oncology
DO  - 10.1038/s41698-025-00959-w
UR  - https://doi.org/10.1038/s41698-025-00959-w
ER  - 

APA

D, B., C, Z., AL, C., ZI, M., GB, M., & SK, M. (2025). Utilizing cohort-level and individual networks to predict best response in patients with metastatic triple negative breast cancer.. NPJ precision oncology. https://doi.org/10.1038/s41698-025-00959-w

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