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Hong You

Showing results (471-480 of 965) with videos related to

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Antioxidants (Basel, Switzerland)|December 23, 2022
Eco-Efficient Quantification of Glucosinolates in Camelina Seed, Oil, and Defatted Meal: Optimization, Development, and Validation of a UPLC-DAD MethodSalvador Meza, Yucheng Zhou, Jonathan Chastain, et al.
Biology|May 28, 2022
MSPEDTI: Prediction of Drug-Target Interactions via Molecular Structure with Protein Evolutionary InformationLei Wang, Leon Wong, Zhan-Heng Chen, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 8, 2022
Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease AssociationsMei-Neng Wang, Xue-Jun Xie, Zhu-Hong You, et al.
ACS Omega|July 28, 2020
MIPDH: A Novel Computational Model for Predicting microRNA-mRNA Interactions by DeepWalk on a Heterogeneous NetworkLeon Wong, Zhu-Hong You, Zhen-Hao Guo, et al.
Computers in Biology and Medicine|May 31, 2024
MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learningLin-Xuan Hou, Hai-Cheng Yi, Zhu-Hong You, et al.
Parasites & Vectors|June 11, 2016
Functional characterisation of Schistosoma japonicum acetylcholinesteraseHong You, Geoffrey N Gobert, Xiaofeng Du, et al.
International Journal of Biological Sciences|July 11, 2018
Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profilesYan-Bin Wang, Zhu-Hong You, Li-Ping Li, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 4, 2022
Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge NetworksZheng-Wei Li, Qian-Kun Wang, Chang-An Yuan, et al.
Bioinformatics (Oxford, England)|July 28, 2023
iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information networkBo-Wei Zhao, Xiao-Rui Su, Peng-Wei Hu, et al.
International Journal of Molecular Sciences|February 24, 2019
Prediction of Self-Interacting Proteins from Protein Sequence Information Based on Random Projection Model and Fast Fourier TransformZhan-Heng Chen, Zhu-Hong You, Li-Ping Li, et al.
Pageof 97

Showing results (471-480 of 965) with videos related to

Sort By:
Pageof 97
Antioxidants (Basel, Switzerland)|December 23, 2022
Eco-Efficient Quantification of Glucosinolates in Camelina Seed, Oil, and Defatted Meal: Optimization, Development, and Validation of a UPLC-DAD MethodSalvador Meza, Yucheng Zhou, Jonathan Chastain, et al.
Biology|May 28, 2022
MSPEDTI: Prediction of Drug-Target Interactions via Molecular Structure with Protein Evolutionary InformationLei Wang, Leon Wong, Zhan-Heng Chen, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 8, 2022
Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease AssociationsMei-Neng Wang, Xue-Jun Xie, Zhu-Hong You, et al.
ACS Omega|July 28, 2020
MIPDH: A Novel Computational Model for Predicting microRNA-mRNA Interactions by DeepWalk on a Heterogeneous NetworkLeon Wong, Zhu-Hong You, Zhen-Hao Guo, et al.
Computers in Biology and Medicine|May 31, 2024
MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learningLin-Xuan Hou, Hai-Cheng Yi, Zhu-Hong You, et al.
Parasites & Vectors|June 11, 2016
Functional characterisation of Schistosoma japonicum acetylcholinesteraseHong You, Geoffrey N Gobert, Xiaofeng Du, et al.
International Journal of Biological Sciences|July 11, 2018
Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profilesYan-Bin Wang, Zhu-Hong You, Li-Ping Li, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 4, 2022
Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge NetworksZheng-Wei Li, Qian-Kun Wang, Chang-An Yuan, et al.
Bioinformatics (Oxford, England)|July 28, 2023
iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information networkBo-Wei Zhao, Xiao-Rui Su, Peng-Wei Hu, et al.
International Journal of Molecular Sciences|February 24, 2019
Prediction of Self-Interacting Proteins from Protein Sequence Information Based on Random Projection Model and Fast Fourier TransformZhan-Heng Chen, Zhu-Hong You, Li-Ping Li, et al.
Pageof 97