Efficient Boolean Modeling of Gene Regulatory Networks via Random Forest Based Feature Selection and Best-Fit Extension

Research article (2018 IEEE 14th International Conference on Control and Automation (ICCA), 2018) · cited 10× · AI/ML
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Efficient Boolean Modeling of Gene Regulatory Networks via Random Forest Based Feature Selection and Best-Fit Extension

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Efficient Boolean Modeling of Gene Regulatory Networks via Random Forest Based Feature Selection and Best-Fit Extension is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Efficient Boolean Modeling of Gene Regulatory Networks via Random Forest Based Feature Selection and Best-Fit Extension. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-boolean-modeling-of-gene-regulatory-networks-via-random-forest-based-feature-selection-and-best-fit-extension
MLA “Efficient Boolean Modeling of Gene Regulatory Networks via Random Forest Based Feature Selection and Best-Fit Extension.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-boolean-modeling-of-gene-regulatory-networks-via-random-forest-based-feature-selection-and-best-fit-extension.
BibTeX @misc{4ortxyz_efficient-boolean-modeling-of-gene-regulatory-networks-via-random-forest-based-feature-selection-and-best-fit-extension_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient Boolean Modeling of Gene Regulatory Networks via Random Forest Based Feature Selection and Best-Fit Extension}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-boolean-modeling-of-gene-regulatory-networks-via-random-forest-based-feature-selection-and-best-fit-extension}, note = {Accessed: 2026-05-24}}
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