Modelling T cell proliferation: Dynamics heterogeneity depending on cell differentiation, age, and genetic background

Julien Vibert, Véronique Thomas-Vaslin

Open source

DOI: 10.1371/journal.pcbi.1005417
Published: 2017-03-13
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.1005417,
  title = {Modelling T cell proliferation: Dynamics heterogeneity depending on cell differentiation, age, and genetic background},
  author = {Julien Vibert and Véronique Thomas-Vaslin},
  year = {2017},
  journal = {PLOS Computational Biology},
  doi = {10.1371/journal.pcbi.1005417},
  url = {https://doi.org/10.1371/journal.pcbi.1005417}
}

RIS

TY  - JOUR
TI  - Modelling T cell proliferation: Dynamics heterogeneity depending on cell differentiation, age, and genetic background
AU  - Julien Vibert
AU  - Véronique Thomas-Vaslin
PY  - 2017
JO  - PLOS Computational Biology
DO  - 10.1371/journal.pcbi.1005417
UR  - https://doi.org/10.1371/journal.pcbi.1005417
ER  -

APA

Vibert, J., & Thomas-Vaslin, V. (2017). Modelling T cell proliferation: Dynamics heterogeneity depending on cell differentiation, age, and genetic background. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1005417

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crossref · retrieved 2026-09-25T02:13:46.686Z