DE-EA: A double-encoded evolutionary algorithm for mining dynamical network biomarkers in higher-order interaction
- DOI
- 10.1016/j.compbiolchem.2026.109490
- Published
- 2027-02
- Container
- Computational Biology and Chemistry
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiolchem.2026.109490,
title = {DE-EA: A double-encoded evolutionary algorithm for mining dynamical network biomarkers in higher-order interaction},
author = {Yuhe Wang and Suoqin Jin and Kang Wu and Xiufen Zou and Lizhong Dai},
year = {2027},
journal = {Computational Biology and Chemistry},
doi = {10.1016/j.compbiolchem.2026.109490},
url = {https://doi.org/10.1016/j.compbiolchem.2026.109490}
}RIS
TY - JOUR TI - DE-EA: A double-encoded evolutionary algorithm for mining dynamical network biomarkers in higher-order interaction AU - Yuhe Wang AU - Suoqin Jin AU - Kang Wu AU - Xiufen Zou AU - Lizhong Dai PY - 2027 JO - Computational Biology and Chemistry DO - 10.1016/j.compbiolchem.2026.109490 UR - https://doi.org/10.1016/j.compbiolchem.2026.109490 ER -
APA
Wang, Y., Jin, S., Wu, K., Zou, X., & Dai, L. (2027). DE-EA: A double-encoded evolutionary algorithm for mining dynamical network biomarkers in higher-order interaction. Computational Biology and Chemistry. https://doi.org/10.1016/j.compbiolchem.2026.109490
Source records
- crossref · retrieved 2026-11-05T16:11:51.958Z