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Peer-reviewedCC BYFrontiers in pharmacology

Personalized Boolean network dynamic profiling and machine learning approaches to identify combinatorial treatments for prostate cancer

  1. 1Division of Pharmacokinetics-Pharmacodynamics & Systems Pharmacology, Department of Pharmaceutical Sciences, University at Buffalo , , ,
  2. 2Department of Pharmacology & Therapeutics, Roswell Park Comprehensive Cancer Center , , ,

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BibTeX
@article{kim2026personalized,
  title = {{Personalized Boolean network dynamic profiling and machine learning approaches to identify combinatorial treatments for prostate cancer}},
  author = {Se Jin Kim and Sandra Salib and Barbara A. Foster and Anna Woloszynska and Donald E. Mager},
  journal = {Frontiers in pharmacology},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13658504},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Personalized Boolean network dynamic profiling and machine learning approaches to identify combinatorial treatments for prostate cancer
AU  - Se Jin Kim
AU  - Sandra Salib
AU  - Barbara A. Foster
AU  - Anna Woloszynska
AU  - Donald E. Mager
PY  - 2026
DA  - 2026/10/16
JO  - Frontiers in pharmacology
UR  - https://europepmc.org/article/PMC/PMC13658504
SN  - 1663-9812
ER  -