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Updated: Jul 22, 2026

Design and Implementation of an Automated Illuminating, Culturing, and Sampling System for Microbial Optogenetic Applications
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Design and Implementation of an Automated Illuminating, Culturing, and Sampling System for Microbial Optogenetic Applications

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从Saccharomyces cerevisiae的多种实验生长条件中产生谷氨的机器学习建模和添加式解释技术

Ana Carolina Ferreira Piazzi Fuhr1, Ingrid da Mata Gonçalves2, Lucielen Oliveira Santos2

  • 1Chemical Engineering Department, Federal University of Santa Maria, RS, Brazil.

International journal of biological macromolecules
|February 9, 2024
PubMed
概括

机器学习优化了Saccharomyces cerevisiae中的谷氨酸生产. 极端梯度提升 (eXtreme Gradient Boosting) 确定了获得更高产量的最佳条件,包括特定的培养时间,磁场,压力和培养量.

关键词:
特性相互作用的相互作用.机器学习是机器学习.部分依赖的情节图.在SHAP中,价值是SHAP值.压力情况 压力状况 压力状况

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