CAPE: a deep learning framework with Chaos-Attention net for Promoter Evolution
Ren, Ruohan, Yu, Hongyu, Teng, Jiahao, Mao, Sihui, Bian, Zixuan, Tao, Yangtianze, Yau, Stephen S-T
Published in Briefings in bioinformatics (25.07.2024)
Published in Briefings in bioinformatics (25.07.2024)
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Journal Article
Enhanced Aggregation-Induced Emission Activity of Metal–Organic Frameworks by Using Machine Learning Technology
Zhang, Qi, Tao, Yangtianze, Tang, Bin, Zhou, Jin, Wang, Haiyan, Wang, Jianmei, Gao, Ying, Yang, Jianxin, Ji, Linhong, Li, Shuangshou
Published in ACS sustainable chemistry & engineering (04.07.2022)
Published in ACS sustainable chemistry & engineering (04.07.2022)
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Graphene Quantum Dots with Improved Fluorescence Activity via Machine Learning: Implications for Fluorescence Monitoring
Zhang, Qi, Tao, Yangtianze, Tang, Bin, Yang, Jianxin, Liang, Hanwei, Wang, Beibei, Wang, Jianmei, Jiang, Xuan, Ji, Linhong, Li, Shuangshou
Published in ACS applied nano materials (25.02.2022)
Published in ACS applied nano materials (25.02.2022)
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Size-Controllable Eu-MOFs through Machine Learning Technology: Application for High Sensitive Ions and Small-Molecular Identification
Zhang, Qi, Liang, Hanwei, Tao, Yangtianze, Yang, Jianxin, Tang, Bin, Li, Rui, Ma, Yun, Ji, Linhong, Jiang, Xuan, Li, Shuangshou
Published in Small methods (01.06.2022)
Published in Small methods (01.06.2022)
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Journal Article
Evolution is All You Need in Promoter Design and Optimization
Ren, Ruohan, Yu, Hongyu, Teng, Jiahao, Mao, Sihui, Bian, Zixuan, Yangtianze Tao, Yau, Stephen S-T
Published in bioRxiv (18.11.2023)
Published in bioRxiv (18.11.2023)
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