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Xiaoping Min

Showing results (1-10 of 27) with videos related to

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Current Pharmaceutical Design|November 25, 2020
Sequence-Based Deep Learning Frameworks on Enhancer-Promoter Interactions PredictionXiaoping Min, Fengqing Lu, Chunyan Li
Briefings in Bioinformatics|October 23, 2020
Predicting enhancer-promoter interactions by deep learning and matching heuristicXiaoping Min, Congmin Ye, Xiangrong Liu, et al.
Frontiers in Genetics|August 16, 2018
Prediction of Drug-Gene Interaction by Using Metapath2vecSiyi Zhu, Jiaxin Bing, Xiaoping Min, et al.
Briefings in Bioinformatics|August 19, 2021
De novo generation of dual-target ligands using adversarial training and reinforcement learningFengqing Lu, Mufei Li, Xiaoping Min, et al.
Current Protein & Peptide Science|January 21, 2020
Comprehensive Review and Comparison for Anticancer Peptides Identification ModelsXiao Song, Yuanying Zhuang, Yihua Lan, et al.
Molecules (Basel, Switzerland)|November 17, 2017
Predict the Relationship between Gene and Large Yellow Croaker's Economic TraitsXiangxiang Zeng, Shuting Jin, Jin Jiang, et al.
IEEE Journal of Biomedical and Health Informatics|December 26, 2025
MEDL-DDI: Example-Driven Learning With Multi-Source Features for Predicting Drug-Drug InteractionHaixue Zhao, Yunjiong Liu, Peiliang Zhang, et al.
Sheng Wu Gong Cheng Xue Bao = Chinese Journal of Biotechnology|November 25, 2024
[<i>De novo</i> protein design in the age of artificial intelligence]Nan Liu, Xiaocheng Jin, Chongzhou Yang, et al.
IEEE Transactions on Computational Biology and Bioinformatics|December 25, 2025
PocketStruct: Integrating Protein Pocket Structural Features for Protein-peptide Binding PredictionZiyang Wang, Yangkun Zheng, Ridi Wen, et al.
Frontiers in Genetics|January 26, 2024
Empirical validation of ProteinMPNN's efficiency in enhancing protein fitnessTianshu Wang, Xiaocheng Jin, Xiaoli Lu, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Current Pharmaceutical Design|November 25, 2020
Sequence-Based Deep Learning Frameworks on Enhancer-Promoter Interactions PredictionXiaoping Min, Fengqing Lu, Chunyan Li
Briefings in Bioinformatics|October 23, 2020
Predicting enhancer-promoter interactions by deep learning and matching heuristicXiaoping Min, Congmin Ye, Xiangrong Liu, et al.
Frontiers in Genetics|August 16, 2018
Prediction of Drug-Gene Interaction by Using Metapath2vecSiyi Zhu, Jiaxin Bing, Xiaoping Min, et al.
Briefings in Bioinformatics|August 19, 2021
De novo generation of dual-target ligands using adversarial training and reinforcement learningFengqing Lu, Mufei Li, Xiaoping Min, et al.
Current Protein & Peptide Science|January 21, 2020
Comprehensive Review and Comparison for Anticancer Peptides Identification ModelsXiao Song, Yuanying Zhuang, Yihua Lan, et al.
Molecules (Basel, Switzerland)|November 17, 2017
Predict the Relationship between Gene and Large Yellow Croaker's Economic TraitsXiangxiang Zeng, Shuting Jin, Jin Jiang, et al.
IEEE Journal of Biomedical and Health Informatics|December 26, 2025
MEDL-DDI: Example-Driven Learning With Multi-Source Features for Predicting Drug-Drug InteractionHaixue Zhao, Yunjiong Liu, Peiliang Zhang, et al.
Sheng Wu Gong Cheng Xue Bao = Chinese Journal of Biotechnology|November 25, 2024
[<i>De novo</i> protein design in the age of artificial intelligence]Nan Liu, Xiaocheng Jin, Chongzhou Yang, et al.
IEEE Transactions on Computational Biology and Bioinformatics|December 25, 2025
PocketStruct: Integrating Protein Pocket Structural Features for Protein-peptide Binding PredictionZiyang Wang, Yangkun Zheng, Ridi Wen, et al.
Frontiers in Genetics|January 26, 2024
Empirical validation of ProteinMPNN's efficiency in enhancing protein fitnessTianshu Wang, Xiaocheng Jin, Xiaoli Lu, et al.
Pageof 3