Unified tumor growth mechanisms from multimodel inference and dataset integration

Samantha P. Beik, Leonard A. Harris, Michael A. Kochen, Julien Sage, Vito Quaranta, Carlos F. Lopez

Open source

DOI: 10.1371/journal.pcbi.1011215
Published: 2023-07-05
Container: PLOS Computational Biology
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1011215,
  title = {Unified tumor growth mechanisms from multimodel inference and dataset integration},
  author = {Samantha P. Beik and Leonard A. Harris and Michael A. Kochen and Julien Sage and Vito Quaranta and Carlos F. Lopez},
  year = {2023},
  journal = {PLOS Computational Biology},
  doi = {10.1371/journal.pcbi.1011215},
  url = {https://doi.org/10.1371/journal.pcbi.1011215}
}

RIS

TY  - JOUR
TI  - Unified tumor growth mechanisms from multimodel inference and dataset integration
AU  - Samantha P. Beik
AU  - Leonard A. Harris
AU  - Michael A. Kochen
AU  - Julien Sage
AU  - Vito Quaranta
AU  - Carlos F. Lopez
PY  - 2023
JO  - PLOS Computational Biology
DO  - 10.1371/journal.pcbi.1011215
UR  - https://doi.org/10.1371/journal.pcbi.1011215
ER  -

APA

Beik, S. P., Harris, L. A., Kochen, M. A., Sage, J., Quaranta, V., & Lopez, C. F. (2023). Unified tumor growth mechanisms from multimodel inference and dataset integration. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1011215

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crossref · retrieved 2026-11-10T10:29:50.767Z