A Network Phenotyping Strategy approach in a Turkish HCC Dataset and Comparison of Patients Selected for Transplant and those who were not.
- DOI
- 10.14744/jilti.2025.55264
- Published
- 2025 Apr
- Container
- Journal of Inonu Liver Transplantation Institute
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.14744/jilti.2025.55264,
title = {A Network Phenotyping Strategy approach in a Turkish HCC Dataset and Comparison of Patients Selected for Transplant and those who were not.},
author = {Pancoska P and Carr BI and Ince V and Yilmaz S},
year = {2025},
journal = {Journal of Inonu Liver Transplantation Institute},
doi = {10.14744/jilti.2025.55264},
url = {https://doi.org/10.14744/jilti.2025.55264}
}RIS
TY - JOUR TI - A Network Phenotyping Strategy approach in a Turkish HCC Dataset and Comparison of Patients Selected for Transplant and those who were not. AU - Pancoska P AU - Carr BI AU - Ince V AU - Yilmaz S PY - 2025 JO - Journal of Inonu Liver Transplantation Institute DO - 10.14744/jilti.2025.55264 UR - https://doi.org/10.14744/jilti.2025.55264 ER -
APA
P, P., BI, C., V, I., & S, Y. (2025). A Network Phenotyping Strategy approach in a Turkish HCC Dataset and Comparison of Patients Selected for Transplant and those who were not.. Journal of Inonu Liver Transplantation Institute. https://doi.org/10.14744/jilti.2025.55264
Source records
- pubmed · retrieved 2026-09-26T10:57:20.389Z