Data-driven modeling of spatiotemporal dynamics using multimodal imaging data.

Li C, Mao Y, Liu X, Hao W

DOI: 10.1371/journal.pcbi.1014751
Published: 2026 Sep 18
Container: PLoS computational biology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1014751,
  title = {Data-driven modeling of spatiotemporal dynamics using multimodal imaging data.},
  author = {Li C and Mao Y and Liu X and Hao W},
  year = {2026},
  journal = {PLoS computational biology},
  doi = {10.1371/journal.pcbi.1014751},
  url = {https://doi.org/10.1371/journal.pcbi.1014751}
}

RIS

TY  - JOUR
TI  - Data-driven modeling of spatiotemporal dynamics using multimodal imaging data.
AU  - Li C
AU  - Mao Y
AU  - Liu X
AU  - Hao W
PY  - 2026
JO  - PLoS computational biology
DO  - 10.1371/journal.pcbi.1014751
UR  - https://doi.org/10.1371/journal.pcbi.1014751
ER  -

APA

C, L., Y, M., X, L., & W, H. (2026). Data-driven modeling of spatiotemporal dynamics using multimodal imaging data.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1014751

Source records

pubmed · retrieved 2026-09-25T01:55:40.546Z