Challenges and opportunities for the next generation of computational tumor models.
- DOI
- 10.1371/journal.pbio.3003269
- Published
- 2025-07-23
- Container
- PLoS Biol
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pbio.3003269,
title = {Challenges and opportunities for the next generation of computational tumor models.},
author = {Munn LL and Jain RK.},
year = {2025},
journal = {PLoS Biol},
doi = {10.1371/journal.pbio.3003269},
url = {https://doi.org/10.1371/journal.pbio.3003269}
}RIS
TY - JOUR TI - Challenges and opportunities for the next generation of computational tumor models. AU - Munn LL AU - Jain RK. PY - 2025 JO - PLoS Biol DO - 10.1371/journal.pbio.3003269 UR - https://doi.org/10.1371/journal.pbio.3003269 ER -
APA
LL, M., & RK., J. (2025). Challenges and opportunities for the next generation of computational tumor models.. PLoS Biol. https://doi.org/10.1371/journal.pbio.3003269
Source records
- europe-pmc · retrieved 2026-09-27T10:55:47.002Z
- doaj · retrieved 2026-09-27T10:55:47.010Z