Generation of multicellular spatiotemporal models of population dynamics from ordinary differential equations, with applications in viral infection.
- DOI
- 10.1186/s12915-021-01115-z
- Published
- 2021 Sep 8
- Container
- BMC biology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12915-021-01115-z,
title = {Generation of multicellular spatiotemporal models of population dynamics from ordinary differential equations, with applications in viral infection.},
author = {Sego TJ and Aponte-Serrano JO and Gianlupi JF and Glazier JA},
year = {2021},
journal = {BMC biology},
doi = {10.1186/s12915-021-01115-z},
url = {https://doi.org/10.1186/s12915-021-01115-z}
}RIS
TY - JOUR TI - Generation of multicellular spatiotemporal models of population dynamics from ordinary differential equations, with applications in viral infection. AU - Sego TJ AU - Aponte-Serrano JO AU - Gianlupi JF AU - Glazier JA PY - 2021 JO - BMC biology DO - 10.1186/s12915-021-01115-z UR - https://doi.org/10.1186/s12915-021-01115-z ER -
APA
TJ, S., JO, A., JF, G., & JA, G. (2021). Generation of multicellular spatiotemporal models of population dynamics from ordinary differential equations, with applications in viral infection.. BMC biology. https://doi.org/10.1186/s12915-021-01115-z
Source records
- pubmed · retrieved 2026-09-26T10:14:06.568Z