How optimal control of cellular cost shapes population-level tumor growth dynamics.

Shrestha P, George JT

Open source

DOI
10.64898/2026.09.17.751892
Published
2026 Sep 18
Container
bioRxiv : the preprint server for biology
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.64898/2026.09.17.751892,
  title = {How optimal control of cellular cost shapes population-level tumor growth dynamics.},
  author = {Shrestha P and George JT},
  year = {2026},
  journal = {bioRxiv : the preprint server for biology},
  doi = {10.64898/2026.09.17.751892},
  url = {https://doi.org/10.64898/2026.09.17.751892}
}

RIS

TY  - JOUR
TI  - How optimal control of cellular cost shapes population-level tumor growth dynamics.
AU  - Shrestha P
AU  - George JT
PY  - 2026
JO  - bioRxiv : the preprint server for biology
DO  - 10.64898/2026.09.17.751892
UR  - https://doi.org/10.64898/2026.09.17.751892
ER  - 

APA

P, S., & JT, G. (2026). How optimal control of cellular cost shapes population-level tumor growth dynamics.. bioRxiv : the preprint server for biology. https://doi.org/10.64898/2026.09.17.751892

Source records