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Shengnan She

Showing results (1-10 of 5) with videos related to

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Frontiers in Pharmacology|January 2, 2023
Deep learning-based multi-drug synergy prediction model for individually tailored anti-cancer therapiesShengnan She, Hengwei Chen, Wei Ji, et al.
Frontiers in Pharmacology|September 19, 2024
A general prediction model for compound-protein interactions based on deep learningWei Ji, Shengnan She, Chunxue Qiao, et al.
Journal of Bioinformatics and Computational Biology|July 26, 2022
Prediction model for synergistic anti-tumor multi-compound combinations from traditional Chinese medicine based on extreme gradient boosting, targets and gene expression dataMengqiu Sun, Shengnan She, Hengwei Chen, et al.
Briefings in Bioinformatics|October 13, 2025
Microllm: a structured information extraction tool using large language models and named entity recognition in microbiologyJing Lu, Fei Li, Lei Feng, et al.
Nature Biomedical Engineering|June 29, 2026
Engineered circular RNA compatible with complete nucleoside modification and rolling circle translation through a Cap-independent translation enhancerXinyue Wang, Qian Pan, Jie Yin, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Frontiers in Pharmacology|January 2, 2023
Deep learning-based multi-drug synergy prediction model for individually tailored anti-cancer therapiesShengnan She, Hengwei Chen, Wei Ji, et al.
Frontiers in Pharmacology|September 19, 2024
A general prediction model for compound-protein interactions based on deep learningWei Ji, Shengnan She, Chunxue Qiao, et al.
Journal of Bioinformatics and Computational Biology|July 26, 2022
Prediction model for synergistic anti-tumor multi-compound combinations from traditional Chinese medicine based on extreme gradient boosting, targets and gene expression dataMengqiu Sun, Shengnan She, Hengwei Chen, et al.
Briefings in Bioinformatics|October 13, 2025
Microllm: a structured information extraction tool using large language models and named entity recognition in microbiologyJing Lu, Fei Li, Lei Feng, et al.
Nature Biomedical Engineering|June 29, 2026
Engineered circular RNA compatible with complete nucleoside modification and rolling circle translation through a Cap-independent translation enhancerXinyue Wang, Qian Pan, Jie Yin, et al.
Pageof 1