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Leon Wong

Showing results (1-10 of 31) with videos related to

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Family Planning Perspectives|January 16, 1998
Oral contraceptive use and protective behavior after missed pillsD Oakley, L Potter, E de Leon-Wong, et al.
Family Planning Perspectives|July 1, 1996
Measuring compliance among oral contraceptive usersL Potter, D Oakley, E de Leon-Wong, et al.
Biomed Research International|December 4, 2015
Using Weighted Sparse Representation Model Combined with Discrete Cosine Transformation to Predict Protein-Protein Interactions from Protein SequenceYu-An Huang, Zhu-Hong You, Xin Gao, et al.
IEEE Journal of Biomedical and Health Informatics|December 25, 2023
MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association PredictionLei Wang, Zheng-Wei Li, Zhu-Hong You, et al.
Iscience|May 27, 2021
DANE-MDA: Predicting microRNA-disease associations via deep attributed network embeddingBo-Ya Ji, Zhu-Hong You, Yi Wang, et al.
IEEE Journal of Biomedical and Health Informatics|December 21, 2023
GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease AssociationLei Wang, Zheng-Wei Li, Zhu-Hong You, et al.
Journal of Cellular and Molecular Medicine|October 1, 2019
LNRLMI: Linear neighbour representation for predicting lncRNA-miRNA interactionsLeon Wong, Yu-An Huang, Zhu-Hong You, et al.
Applied Soft Computing|August 30, 2021
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioningXiaorui Su, Zhuhong You, Lei Wang, et al.
BMC Bioinformatics|September 11, 2020
NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute informationBo-Ya Ji, Zhu-Hong You, Zhan-Heng Chen, et al.
Biomedicines|July 27, 2022
SIPGCN: A Novel Deep Learning Model for Predicting Self-Interacting Proteins from Sequence Information Using Graph Convolutional NetworksYing Wang, Lin-Lin Wang, Leon Wong, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Family Planning Perspectives|January 16, 1998
Oral contraceptive use and protective behavior after missed pillsD Oakley, L Potter, E de Leon-Wong, et al.
Family Planning Perspectives|July 1, 1996
Measuring compliance among oral contraceptive usersL Potter, D Oakley, E de Leon-Wong, et al.
Biomed Research International|December 4, 2015
Using Weighted Sparse Representation Model Combined with Discrete Cosine Transformation to Predict Protein-Protein Interactions from Protein SequenceYu-An Huang, Zhu-Hong You, Xin Gao, et al.
IEEE Journal of Biomedical and Health Informatics|December 25, 2023
MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association PredictionLei Wang, Zheng-Wei Li, Zhu-Hong You, et al.
Iscience|May 27, 2021
DANE-MDA: Predicting microRNA-disease associations via deep attributed network embeddingBo-Ya Ji, Zhu-Hong You, Yi Wang, et al.
IEEE Journal of Biomedical and Health Informatics|December 21, 2023
GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease AssociationLei Wang, Zheng-Wei Li, Zhu-Hong You, et al.
Journal of Cellular and Molecular Medicine|October 1, 2019
LNRLMI: Linear neighbour representation for predicting lncRNA-miRNA interactionsLeon Wong, Yu-An Huang, Zhu-Hong You, et al.
Applied Soft Computing|August 30, 2021
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioningXiaorui Su, Zhuhong You, Lei Wang, et al.
BMC Bioinformatics|September 11, 2020
NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute informationBo-Ya Ji, Zhu-Hong You, Zhan-Heng Chen, et al.
Biomedicines|July 27, 2022
SIPGCN: A Novel Deep Learning Model for Predicting Self-Interacting Proteins from Sequence Information Using Graph Convolutional NetworksYing Wang, Lin-Lin Wang, Leon Wong, et al.
Pageof 4