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Machine Learning-Driven Promoter Design for Transgene Expression Control

Agricultural Bioinformatics

Synthetic Biology Design for Crop Enhancement

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Agricultural Bioinformatics › Synthetic Biology Design for Crop Enhancement

Machine Learning-Driven Promoter Design for Transgene Expression Control

This research develops computational models to predict and design synthetic promoters with tissue-specific and stimulus-responsive expression patterns in crop genomes. The work produces empirically validated frameworks for rational gene regulation architecture in polyploid and complex plant genomes.

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