Quantifying network uncertainty in chemical reaction network inference
- DOI
- 10.1016/j.mbs.2026.109843
- Published
- 2026-11
- Container
- Mathematical Biosciences
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.mbs.2026.109843,
title = {Quantifying network uncertainty in chemical reaction network inference},
author = {Yong See Foo and Adriana Zanca and Jennifer A. Flegg and Ivo Siekmann},
year = {2026},
journal = {Mathematical Biosciences},
doi = {10.1016/j.mbs.2026.109843},
url = {https://doi.org/10.1016/j.mbs.2026.109843}
}RIS
TY - JOUR TI - Quantifying network uncertainty in chemical reaction network inference AU - Yong See Foo AU - Adriana Zanca AU - Jennifer A. Flegg AU - Ivo Siekmann PY - 2026 JO - Mathematical Biosciences DO - 10.1016/j.mbs.2026.109843 UR - https://doi.org/10.1016/j.mbs.2026.109843 ER -
APA
Foo, Y. S., Zanca, A., Flegg, J. A., & Siekmann, I. (2026). Quantifying network uncertainty in chemical reaction network inference. Mathematical Biosciences. https://doi.org/10.1016/j.mbs.2026.109843
Source records
- crossref · retrieved 2026-11-07T04:36:52.525Z