Sensitivity analysis of a mathematical model of Alzheimer's disease progression unveils important causal pathways

Seyedadel Moravveji, Halima Sadia, Nicolas Doyon, Simon Duchesne

Open source

DOI
10.3389/fninf.2025.1590968
Published
2025-07-23
Container
Frontiers in Neuroinformatics
Publisher
Frontiers Media SA
Open access
unknown

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BibTeX

@article{allodium:10.3389/fninf.2025.1590968,
  title = {Sensitivity analysis of a mathematical model of Alzheimer's disease progression unveils important causal pathways},
  author = {Seyedadel Moravveji and Halima Sadia and Nicolas Doyon and Simon Duchesne},
  year = {2025},
  journal = {Frontiers in Neuroinformatics},
  doi = {10.3389/fninf.2025.1590968},
  url = {https://doi.org/10.3389/fninf.2025.1590968}
}

RIS

TY  - JOUR
TI  - Sensitivity analysis of a mathematical model of Alzheimer's disease progression unveils important causal pathways
AU  - Seyedadel Moravveji
AU  - Halima Sadia
AU  - Nicolas Doyon
AU  - Simon Duchesne
PY  - 2025
JO  - Frontiers in Neuroinformatics
DO  - 10.3389/fninf.2025.1590968
UR  - https://doi.org/10.3389/fninf.2025.1590968
ER  - 

APA

Moravveji, S., Sadia, H., Doyon, N., & Duchesne, S. (2025). Sensitivity analysis of a mathematical model of Alzheimer's disease progression unveils important causal pathways. Frontiers in Neuroinformatics. https://doi.org/10.3389/fninf.2025.1590968

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