المؤلفون: Mei Zhao (177004), Zhenqi Yuan (11856524), Longtao Wu (8620341), Shenghu Zhou (1675771), Yu Deng (162738)

مصطلحات موضوعية: Genetics, Molecular Biology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, weakest expression levels, pearson correlation coefficient, mean absolute error, clear sequence profiles, broad dynamic ranges, artificial intelligence model, 3665 different variants, characterization engineering cycles, trc promoters (<, machine learning promoters, trc , t7 , synthetic promoter library, big promoter library, 2 , 1 mm isopropyl, promoter strength based, consuming promoter construction, promoter strength prediction, mutant library, >< sub, r <, p <, promoter sequences, characterization processes

Relation: https://figshare.com/articles/dataset/Precise_Prediction_of_Promoter_Strength_Based_on_a_De_Novo_Synthetic_Promoter_Library_Coupled_with_Machine_Learning/17294021

الاتاحة: https://doi.org/10.1021/acssynbio.1c00117.s002