Bias-Controlled Computational Prioritisation of Therapeutic Hypotheses From Heterogeneous Molecular Data Identifies PLK1 as the Leading MTX-Combination Candidate in Choriocarcinoma
- DOI
- 10.31083/fbl55527
- Published
- 2026-09-30
- Container
- Frontiers in Bioscience-Landmark
- Publisher
- IMR Press
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.31083/fbl55527,
title = {Bias-Controlled Computational Prioritisation of Therapeutic Hypotheses From Heterogeneous Molecular Data Identifies PLK1 as the Leading MTX-Combination Candidate in Choriocarcinoma},
author = {Kim Ngan Ly and Tuong Vi Vo and Nguyen Quoc Khanh Le},
year = {2026},
journal = {Frontiers in Bioscience-Landmark},
doi = {10.31083/fbl55527},
url = {https://doi.org/10.31083/fbl55527}
}RIS
TY - JOUR TI - Bias-Controlled Computational Prioritisation of Therapeutic Hypotheses From Heterogeneous Molecular Data Identifies PLK1 as the Leading MTX-Combination Candidate in Choriocarcinoma AU - Kim Ngan Ly AU - Tuong Vi Vo AU - Nguyen Quoc Khanh Le PY - 2026 JO - Frontiers in Bioscience-Landmark DO - 10.31083/fbl55527 UR - https://doi.org/10.31083/fbl55527 ER -
APA
Ly, K. N., Vo, T. V., & Le, N. Q. K. (2026). Bias-Controlled Computational Prioritisation of Therapeutic Hypotheses From Heterogeneous Molecular Data Identifies PLK1 as the Leading MTX-Combination Candidate in Choriocarcinoma. Frontiers in Bioscience-Landmark. https://doi.org/10.31083/fbl55527
Source records
- crossref · retrieved 2026-11-06T01:23:04.213Z