Precise Prediction of Promoter Strength Based on a De Novo Synthetic Promoter Library Coupled with Machine Learning-Reference-Cited by-同舟云学术

Precise Prediction of Promoter Strength Based on a De Novo Synthetic Promoter Library Coupled with Machine Learning

Author:

Zhao Mei¹²³,Yuan Zhenqi⁴,Wu Longtao⁵,Zhou Shenghu¹²,Deng Yu¹²^ORCID

Affiliation:

1. National Engineering Laboratory for Cereal Fermentation Technology (NELCF), Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China

2. Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China

3. School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu 212013, China

4. School of Artificial Intelligence and Computer Science, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China

5. College of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China

Funder

Ministry of Science and Technology of the People's Republic of China

China Postdoctoral Science Foundation

Natural Science Foundation of Jiangsu Province

Central University Basic Research Fund of China

National Natural Science Foundation of China

Tianjin Synthetic Biotechnology Innovation Capacity Improvement Project

Publisher

American Chemical Society (ACS)

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Biomedical Engineering,General Medicine

Link

Reference57 articles.

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