Synthetic BiologybioRxivPreprint
Machine learning-based promoter strength prediction derived from a fine-tuned synthetic promoter library in Escherichia coli
Mei Zhao, Shenghu Zhou, Longtao Wu, Yu Deng
The paper constructs a synthetic promoter library in E. coli and uses machine learning to predict promoter strength, finding that an XgBoost model achieves optimal performance.
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