A Machine Learning–Based Strategy Predicts Selective and Synergistic Drug Combinations for Relapsed Acute Myeloid Leukemia
- DOI
- 10.1158/0008-5472.can-24-3840
- Published
- 2025-05-12
- Container
- Cancer Research
- Publisher
- American Association for Cancer Research (AACR)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1158/0008-5472.can-24-3840,
title = {A Machine Learning–Based Strategy Predicts Selective and Synergistic Drug Combinations for Relapsed Acute Myeloid Leukemia},
author = {Yingjia Chen and Liye He and Aleksandr Ianevski and Kristen Nader and Tanja Ruokoranta and Nora Linnavirta and Juho J. Miettinen and Markus Vähä-Koskela and Ida Vänttinen and Heikki Kuusanmäki and Mika Kontro and Kimmo Porkka and Krister Wennerberg and Caroline A. Heckman and Anil K. Giri and Tero Aittokallio},
year = {2025},
journal = {Cancer Research},
doi = {10.1158/0008-5472.can-24-3840},
url = {https://doi.org/10.1158/0008-5472.can-24-3840}
}RIS
TY - JOUR TI - A Machine Learning–Based Strategy Predicts Selective and Synergistic Drug Combinations for Relapsed Acute Myeloid Leukemia AU - Yingjia Chen AU - Liye He AU - Aleksandr Ianevski AU - Kristen Nader AU - Tanja Ruokoranta AU - Nora Linnavirta AU - Juho J. Miettinen AU - Markus Vähä-Koskela AU - Ida Vänttinen AU - Heikki Kuusanmäki AU - Mika Kontro AU - Kimmo Porkka AU - Krister Wennerberg AU - Caroline A. Heckman AU - Anil K. Giri AU - Tero Aittokallio PY - 2025 JO - Cancer Research DO - 10.1158/0008-5472.can-24-3840 UR - https://doi.org/10.1158/0008-5472.can-24-3840 ER -
APA
Chen, Y., He, L., Ianevski, A., Nader, K., Ruokoranta, T., Linnavirta, N., Miettinen, J. J., Vähä-Koskela, M., Vänttinen, I., Kuusanmäki, H., Kontro, M., Porkka, K., Wennerberg, K., Heckman, C. A., Giri, A. K., & Aittokallio, T. (2025). A Machine Learning–Based Strategy Predicts Selective and Synergistic Drug Combinations for Relapsed Acute Myeloid Leukemia. Cancer Research. https://doi.org/10.1158/0008-5472.can-24-3840
Source records
- crossref · retrieved 2026-09-26T11:24:32.766Z