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Wangren Qiu

Showing results (11-20 of 21) with videos related to

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Journal of Theoretical Biology|October 13, 2018
iPPI-PseAAC(CGR): Identify protein-protein interactions by incorporating chaos game representation into PseAACJianhua Jia, Xiaoyan Li, Wangren Qiu, et al.
Analytical Biochemistry|January 8, 2024
iSUMO-RsFPN: A predictor for identifying lysine SUMOylation sites based on multi-features and feature pyramid networksZhe Lv, Xin Wei, Siqin Hu, et al.
Frontiers in Cell and Developmental Biology|February 18, 2021
BOW-GBDT: A GBDT Classifier Combining With Artificial Neural Network for Identifying GPCR-Drug Interaction Based on Wordbook Learning From SequencesWangren Qiu, Zhe Lv, Yaoqiu Hong, et al.
Journal of Biomedical Informatics|May 31, 2022
idse-HE: Hybrid embedding graph neural network for drug side effects predictionLiyi Yu, Meiling Cheng, Wangren Qiu, et al.
Computational and Structural Biotechnology Journal|September 16, 2021
EMCBOW-GPCR: A method for identifying G-protein coupled receptors based on word embedding and wordbooksWangren Qiu, Zhe Lv, Xuan Xiao, et al.
International Journal of Molecular Sciences|October 14, 2022
DLm6Am: A Deep-Learning-Based Tool for Identifying N6,2'-O-Dimethyladenosine Sites in RNA SequencesZhengtao Luo, Wei Su, Liliang Lou, et al.
International Journal of Molecular Sciences|March 11, 2023
MSEDDI: Multi-Scale Embedding for Predicting Drug-Drug Interaction EventsLiyi 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 networkLiyi 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 ApproachWenjing Qiu, Qianle Liang, Liyi Yu, et al.
Bioinformatics (Oxford, England)|October 17, 2017
MusiteDeep: a deep-learning framework for general and kinase-specific phosphorylation site predictionDuolin Wang, Shuai Zeng, Chunhui Xu, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Journal of Theoretical Biology|October 13, 2018
iPPI-PseAAC(CGR): Identify protein-protein interactions by incorporating chaos game representation into PseAACJianhua Jia, Xiaoyan Li, Wangren Qiu, et al.
Analytical Biochemistry|January 8, 2024
iSUMO-RsFPN: A predictor for identifying lysine SUMOylation sites based on multi-features and feature pyramid networksZhe Lv, Xin Wei, Siqin Hu, et al.
Frontiers in Cell and Developmental Biology|February 18, 2021
BOW-GBDT: A GBDT Classifier Combining With Artificial Neural Network for Identifying GPCR-Drug Interaction Based on Wordbook Learning From SequencesWangren Qiu, Zhe Lv, Yaoqiu Hong, et al.
Journal of Biomedical Informatics|May 31, 2022
idse-HE: Hybrid embedding graph neural network for drug side effects predictionLiyi Yu, Meiling Cheng, Wangren Qiu, et al.
Computational and Structural Biotechnology Journal|September 16, 2021
EMCBOW-GPCR: A method for identifying G-protein coupled receptors based on word embedding and wordbooksWangren Qiu, Zhe Lv, Xuan Xiao, et al.
International Journal of Molecular Sciences|October 14, 2022
DLm6Am: A Deep-Learning-Based Tool for Identifying N6,2'-O-Dimethyladenosine Sites in RNA SequencesZhengtao Luo, Wei Su, Liliang Lou, et al.
International Journal of Molecular Sciences|March 11, 2023
MSEDDI: Multi-Scale Embedding for Predicting Drug-Drug Interaction EventsLiyi 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 networkLiyi 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 ApproachWenjing Qiu, Qianle Liang, Liyi Yu, et al.
Bioinformatics (Oxford, England)|October 17, 2017
MusiteDeep: a deep-learning framework for general and kinase-specific phosphorylation site predictionDuolin Wang, Shuai Zeng, Chunhui Xu, et al.
Pageof 3