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Bioinformatics (Oxford, England)
|
August 28, 2016
Imbalanced multi-label learning for identifying antimicrobial peptides and their functional types
Weizhong Lin, Dong Xu
Computational Biology and Chemistry
|
April 19, 2026
A drug-target affinity prediction model integrating multimodal feature fusion and structural modeling
Yinan Xu, Xuan Xiao, Weizhong Lin
Plos One
|
May 13, 2025
iProtDNA-SMOTE: Enhancing protein-DNA binding sites prediction through imbalanced graph neural networks
Ruiyan Huang, Wangren Qiu, Xuan Xiao, et al.
Frontiers in Genetics
|
February 18, 2026
TCN-5mC: a predictor of 5-methylcytosine sites based on multi-feature fusion and TCN-inspired block networks
Cunwen Liu, Xuan Xiao, LongChang Wan, et al.
Journal of Biomedical Informatics
|
May 31, 2022
idse-HE: Hybrid embedding graph neural network for drug side effects prediction
Liyi Yu, Meiling Cheng, Wangren Qiu, et al.
Current Pharmaceutical Design
|
June 20, 2020
Remarks on Computational Method for Identifying Acid and Alkaline Enzymes
Hongfei Li, Haoze Du, Xianfang Wang, et al.
International Journal of Molecular Sciences
|
March 11, 2023
MSEDDI: Multi-Scale Embedding for Predicting Drug-Drug Interaction Events
Liyi Yu, Zhaochun Xu, Meiling Cheng, et al.
BMC Bioinformatics
|
April 13, 2022
HGDTI: predicting drug-target interaction by using information aggregation based on heterogeneous graph neural network
Liyi Yu, Wangren Qiu, Weizhong Lin, et al.
Current Pharmaceutical Design
|
February 7, 2024
LSTM-SAGDTA: Predicting Drug-target Binding Affinity with an Attention Graph Neural Network and LSTM Approach
Wenjing Qiu, Qianle Liang, Liyi Yu, et al.
Genomics
|
September 20, 2022
iCancer-Pred: A tool for identifying cancer and its type using DNA methylation
Weizhong Lin, Siqin Hu, Zhicheng Wu, et al.
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Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Bioinformatics (Oxford, England)
|
August 28, 2016
Imbalanced multi-label learning for identifying antimicrobial peptides and their functional types
Weizhong Lin, Dong Xu
Computational Biology and Chemistry
|
April 19, 2026
A drug-target affinity prediction model integrating multimodal feature fusion and structural modeling
Yinan Xu, Xuan Xiao, Weizhong Lin
Plos One
|
May 13, 2025
iProtDNA-SMOTE: Enhancing protein-DNA binding sites prediction through imbalanced graph neural networks
Ruiyan Huang, Wangren Qiu, Xuan Xiao, et al.
Frontiers in Genetics
|
February 18, 2026
TCN-5mC: a predictor of 5-methylcytosine sites based on multi-feature fusion and TCN-inspired block networks
Cunwen Liu, Xuan Xiao, LongChang Wan, et al.
Journal of Biomedical Informatics
|
May 31, 2022
idse-HE: Hybrid embedding graph neural network for drug side effects prediction
Liyi Yu, Meiling Cheng, Wangren Qiu, et al.
Current Pharmaceutical Design
|
June 20, 2020
Remarks on Computational Method for Identifying Acid and Alkaline Enzymes
Hongfei Li, Haoze Du, Xianfang Wang, et al.
International Journal of Molecular Sciences
|
March 11, 2023
MSEDDI: Multi-Scale Embedding for Predicting Drug-Drug Interaction Events
Liyi Yu, Zhaochun Xu, Meiling Cheng, et al.
BMC Bioinformatics
|
April 13, 2022
HGDTI: predicting drug-target interaction by using information aggregation based on heterogeneous graph neural network
Liyi Yu, Wangren Qiu, Weizhong Lin, et al.
Current Pharmaceutical Design
|
February 7, 2024
LSTM-SAGDTA: Predicting Drug-target Binding Affinity with an Attention Graph Neural Network and LSTM Approach
Wenjing Qiu, Qianle Liang, Liyi Yu, et al.
Genomics
|
September 20, 2022
iCancer-Pred: A tool for identifying cancer and its type using DNA methylation
Weizhong Lin, Siqin Hu, Zhicheng Wu, et al.
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of 2