Multi-omics identification of SPON1-related risk model for predicting prognosis and drug response in ovarian cancer.

Zhao Z, Yu Y, Zhang L, Shao W, Li M, Li J, Liu S

Open source

DOI
10.1007/s10142-026-01967-0
Published
2026 Jul 22
Container
Functional & integrative genomics
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1007/s10142-026-01967-0,
  title = {Multi-omics identification of SPON1-related risk model for predicting prognosis and drug response in ovarian cancer.},
  author = {Zhao Z and Yu Y and Zhang L and Shao W and Li M and Li J and Liu S},
  year = {2026},
  journal = {Functional \& integrative genomics},
  doi = {10.1007/s10142-026-01967-0},
  url = {https://doi.org/10.1007/s10142-026-01967-0}
}

RIS

TY  - JOUR
TI  - Multi-omics identification of SPON1-related risk model for predicting prognosis and drug response in ovarian cancer.
AU  - Zhao Z
AU  - Yu Y
AU  - Zhang L
AU  - Shao W
AU  - Li M
AU  - Li J
AU  - Liu S
PY  - 2026
JO  - Functional & integrative genomics
DO  - 10.1007/s10142-026-01967-0
UR  - https://doi.org/10.1007/s10142-026-01967-0
ER  - 

APA

Z, Z., Y, Y., L, Z., W, S., M, L., J, L., & S, L. (2026). Multi-omics identification of SPON1-related risk model for predicting prognosis and drug response in ovarian cancer.. Functional & integrative genomics. https://doi.org/10.1007/s10142-026-01967-0

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