A bioinformatics approach to identify potential biomarkers of high-grade ovarian cancer.

Timirci Kahraman Ö, İnal Gültekin G, Billur D, Bayralı Ülker E, İşbilen M, Durmuş S, Çakır T, Yaylım İ, İsbir T

DOI: 10.4274/jtgga.galenos.2025.2025-1-1
Published: 2026 Mar 3
Container: Journal of the Turkish German Gynecological Association
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.4274/jtgga.galenos.2025.2025-1-1,
  title = {A bioinformatics approach to identify potential biomarkers of high-grade ovarian cancer.},
  author = {Timirci Kahraman Ö and İnal Gültekin G and Billur D and Bayralı Ülker E and İşbilen M and Durmuş S and Çakır T and Yaylım İ and İsbir T},
  year = {2026},
  journal = {Journal of the Turkish German Gynecological Association},
  doi = {10.4274/jtgga.galenos.2025.2025-1-1},
  url = {https://doi.org/10.4274/jtgga.galenos.2025.2025-1-1}
}

RIS

TY  - JOUR
TI  - A bioinformatics approach to identify potential biomarkers of high-grade ovarian cancer.
AU  - Timirci Kahraman Ö
AU  - İnal Gültekin G
AU  - Billur D
AU  - Bayralı Ülker E
AU  - İşbilen M
AU  - Durmuş S
AU  - Çakır T
AU  - Yaylım İ
AU  - İsbir T
PY  - 2026
JO  - Journal of the Turkish German Gynecological Association
DO  - 10.4274/jtgga.galenos.2025.2025-1-1
UR  - https://doi.org/10.4274/jtgga.galenos.2025.2025-1-1
ER  -

APA

Ö, T. K., G, İ. G., D, B., E, B. Ü., M, İ., S, D., T, Ç., İ, Y., & T, İ. (2026). A bioinformatics approach to identify potential biomarkers of high-grade ovarian cancer.. Journal of the Turkish German Gynecological Association. https://doi.org/10.4274/jtgga.galenos.2025.2025-1-1

Source records

pubmed · retrieved 2026-09-26T14:18:15.543Z