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Leyi Wei

Showing results (1-10 of 205) with videos related to

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Methods (San Diego, Calif.)|August 18, 2024
Advanced deep learning approaches enable high-throughput biological and biomedicine data analysisLeyi Wei
Frontiers in Bioinformatics|October 28, 2022
Recent Advances in the Prediction of Subcellular Localization of Proteins and Related TopicsKenta Nakai, Leyi Wei
Bioinformatics (Oxford, England)|February 25, 2022
Multi-scale deep learning for the imbalanced multi-label protein subcellular localization prediction based on immunohistochemistry imagesFengsheng Wang, Leyi Wei
International Journal of Molecular Sciences|December 22, 2016
Recent Progress in Machine Learning-Based Methods for Protein Fold RecognitionLeyi Wei, Quan Zou
Proteomics|July 27, 2019
SecProMTB: Support Vector Machine-Based Classifier for Secretory Proteins Using Imbalanced Data Sets Applied to Mycobacterium tuberculosisChaolu Meng, Leyi Wei, Quan Zou
Briefings in Functional Genomics|December 22, 2018
Research progress in protein posttranslational modification site predictionWenying He, Leyi Wei, Quan Zou
Methods (San Diego, Calif.)|January 30, 2022
Mouse4mC-BGRU: Deep learning for predicting DNA N4-methylcytosine sites in mouse genomeJunru Jin, Yingying Yu, Leyi Wei
Methods (San Diego, Calif.)|April 6, 2024
Editorial: Artificial intelligence in drug discovery and developmentLeyi Wei, Quan Zou, Xiangxiang Zeng
Journal of Chemical Information and Modeling|August 11, 2023
AttenSyn: An Attention-Based Deep Graph Neural Network for Anticancer Synergistic Drug Combination PredictionTianshuo Wang, Ruheng Wang, Leyi Wei
Molecular Therapy. Nucleic Acids|August 7, 2018
M6APred-EL: A Sequence-Based Predictor for Identifying N6-methyladenosine Sites Using Ensemble LearningLeyi Wei, Huangrong Chen, Ran Su
Pageof 21

Showing results (1-10 of 205) with videos related to

Sort By:
Pageof 21
Methods (San Diego, Calif.)|August 18, 2024
Advanced deep learning approaches enable high-throughput biological and biomedicine data analysisLeyi Wei
Frontiers in Bioinformatics|October 28, 2022
Recent Advances in the Prediction of Subcellular Localization of Proteins and Related TopicsKenta Nakai, Leyi Wei
Bioinformatics (Oxford, England)|February 25, 2022
Multi-scale deep learning for the imbalanced multi-label protein subcellular localization prediction based on immunohistochemistry imagesFengsheng Wang, Leyi Wei
International Journal of Molecular Sciences|December 22, 2016
Recent Progress in Machine Learning-Based Methods for Protein Fold RecognitionLeyi Wei, Quan Zou
Proteomics|July 27, 2019
SecProMTB: Support Vector Machine-Based Classifier for Secretory Proteins Using Imbalanced Data Sets Applied to Mycobacterium tuberculosisChaolu Meng, Leyi Wei, Quan Zou
Briefings in Functional Genomics|December 22, 2018
Research progress in protein posttranslational modification site predictionWenying He, Leyi Wei, Quan Zou
Methods (San Diego, Calif.)|January 30, 2022
Mouse4mC-BGRU: Deep learning for predicting DNA N4-methylcytosine sites in mouse genomeJunru Jin, Yingying Yu, Leyi Wei
Methods (San Diego, Calif.)|April 6, 2024
Editorial: Artificial intelligence in drug discovery and developmentLeyi Wei, Quan Zou, Xiangxiang Zeng
Journal of Chemical Information and Modeling|August 11, 2023
AttenSyn: An Attention-Based Deep Graph Neural Network for Anticancer Synergistic Drug Combination PredictionTianshuo Wang, Ruheng Wang, Leyi Wei
Molecular Therapy. Nucleic Acids|August 7, 2018
M6APred-EL: A Sequence-Based Predictor for Identifying N6-methyladenosine Sites Using Ensemble LearningLeyi Wei, Huangrong Chen, Ran Su
Pageof 21