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Briefings in Bioinformatics
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July 8, 2025
Advancing genetic engineering with active learning: theory, implementations and potential opportunities
Qixiu Du, Haochen Wang, Benben Jiang, et al.
Nature Communications
|
February 19, 2025
Systematic representation and optimization enable the inverse design of cross-species regulatory sequences in bacteria
Pengcheng Zhang, Qixiu Du, Ye Wang, et al.
Bioinformatics (Oxford, England)
|
June 28, 2024
Unveil cis-acting combinatorial mRNA motifs by interpreting deep neural network
Xiaocheng Zeng, Zheng Wei, Qixiu Du, et al.
Bioinformatics (Oxford, England)
|
March 2, 2024
GPro: generative AI-empowered toolkit for promoter design
Haochen Wang, Qixiu Du, Ye Wang, et al.
Iscience
|
November 11, 2024
Synthetic promoter design in <i>Escherichia coli</i> based on multinomial diffusion model
Qixiu Du, May Nee Poon, Xiaocheng Zeng, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Briefings in Bioinformatics
|
July 8, 2025
Advancing genetic engineering with active learning: theory, implementations and potential opportunities
Qixiu Du, Haochen Wang, Benben Jiang, et al.
Nature Communications
|
February 19, 2025
Systematic representation and optimization enable the inverse design of cross-species regulatory sequences in bacteria
Pengcheng Zhang, Qixiu Du, Ye Wang, et al.
Bioinformatics (Oxford, England)
|
June 28, 2024
Unveil cis-acting combinatorial mRNA motifs by interpreting deep neural network
Xiaocheng Zeng, Zheng Wei, Qixiu Du, et al.
Bioinformatics (Oxford, England)
|
March 2, 2024
GPro: generative AI-empowered toolkit for promoter design
Haochen Wang, Qixiu Du, Ye Wang, et al.
Iscience
|
November 11, 2024
Synthetic promoter design in <i>Escherichia coli</i> based on multinomial diffusion model
Qixiu Du, May Nee Poon, Xiaocheng Zeng, et al.
Page
of 1