受强制性开放获取政策约束的文章 - Wong Leon了解详情
无法在其他位置公开访问的文章：16 篇
Detection of protein-protein interactions from amino acid sequences using a rotation forest model with a novel PR-LPQ descriptor
L Wong, ZH You, S Li, YA Huang, G Liu
Advanced Intelligent Computing Theories and Applications: 11th International …, 2015
强制性开放获取政策： 国家自然科学基金委员会
Biomedical knowledge graph embedding with capsule network for multi-label drug-drug interaction prediction
X Su, Z You, D Huang, L Wang, L Wong, B Ji, B Zhao
IEEE Transactions on Knowledge and Data Engineering 35 (6), 5640-5651, 2022
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Fusing higher and lower-order biological information for drug repositioning via graph representation learning
BW Zhao, L Wang, PW Hu, L Wong, XR Su, BQ Wang, ZH You, L Hu
IEEE Transactions on Emerging Topics in Computing 12 (1), 163-176, 2023
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction
L Wang, L Wong, Z Li, Y Huang, X Su, B Zhao, Z You
Briefings in Bioinformatics 23 (5), bbac388, 2022
强制性开放获取政策： 国家自然科学基金委员会
AMDECDA: attention mechanism combined with data ensemble strategy for predicting CircRNA-disease association
L Wang, L Wong, ZH You, DS Huang
IEEE Transactions on Big Data, 2023
强制性开放获取政策： 国家自然科学基金委员会
NSECDA: natural semantic enhancement for circRNA-disease association prediction
L Wang, L Wong, ZH You, DS Huang, XR Su, BW Zhao
IEEE Journal of Biomedical and Health Informatics 26 (10), 5075-5084, 2022
强制性开放获取政策： 国家自然科学基金委员会
PPAEDTI: personalized propagation auto-encoder model for predicting drug-target interactions
YC Li, ZH You, CQ Yu, L Wang, L Wong, L Hu, PW Hu, YA Huang
IEEE Journal of Biomedical and Health Informatics 27 (1), 573-582, 2022
强制性开放获取政策： 国家自然科学基金委员会
GSLCDA: an unsupervised deep graph structure learning method for predicting CircRNA-disease association
L Wang, ZW Li, ZH You, DS Huang, L Wong
IEEE Journal of Biomedical and Health Informatics, 2023
强制性开放获取政策： 国家自然科学基金委员会
MAGCDA: a multi-hop attention graph neural networks method for CircRNA-disease association prediction
L Wang, ZW Li, ZH You, DS Huang, L Wong
IEEE Journal of Biomedical and Health Informatics, 2023
强制性开放获取政策： 国家自然科学基金委员会
A novel computational method for predicting LncRNA-disease associations from heterogeneous information network with SDNE embedding model
P Zhang, BW Zhao, L Wong, ZH You, ZH Guo, HC Yi
Intelligent Computing Theories and Application: 16th International …, 2020
强制性开放获取政策： 国家自然科学基金委员会
Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease Associations
MN Wang, XJ Xie, ZH You, L Wong, LP Li, ZH Chen
IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (5 …, 2022
强制性开放获取政策： 国家自然科学基金委员会
A gated recurrent unit model for drug repositioning by combining comprehensive similarity measures and Gaussian interaction profile kernel
T Wang, HC Yi, ZH You, LP Li, YB Wang, L Hu, L Wong
Intelligent Computing Theories and Application: 15th International …, 2019
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Predicting protein-protein interactions from amino acid sequences using SaE-ELM combined with continuous wavelet descriptor and PseAA composition
YA Huang, ZH You, J Li, L Wong, S Cai
Intelligent Computing Theories and Methodologies: 11th International …, 2015
强制性开放获取政策： 国家自然科学基金委员会
Weighted nonnegative matrix factorization based on multi-source fusion information for predicting CircRNA-disease associations
M Wang, X Xie, Z You, L Wong, L Li, Z Chen
Intelligent Computing Theories and Application: 17th International …, 2021
强制性开放获取政策： 国家自然科学基金委员会
Predicting miRNA-Disease Associations via a New MeSH Headings Representation of Diseases and eXtreme Gradient Boosting
BY Ji, ZH You, L Wang, L Wong, XR Su, BW Zhao
Intelligent Computing Theories and Application: 17th International …, 2021
强制性开放获取政策： 国家自然科学基金委员会
A gaussian kernel similarity-based linear optimization model for predicting miRNA-lncrna interactions
L Wong, ZH You, YA Huang, X Zhou, MY Cao
Intelligent Computing Theories and Application: 16th International …, 2020
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：21 篇
Using Weighted Sparse Representation Model Combined with Discrete Cosine Transformation to Predict Protein‐Protein Interactions from Protein Sequence
YA Huang, ZH You, X Gao, L Wong, L Wang
BioMed research international 2015 (1), 902198, 2015
强制性开放获取政策： 国家自然科学基金委员会
Detection of interactions between proteins through rotation forest and local phase quantization descriptors
L Wong, ZH You, Z Ming, J Li, X Chen, YA Huang
International journal of molecular sciences 17 (1), 21, 2015
强制性开放获取政策： 国家自然科学基金委员会
A novel method to predict drug-target interactions based on large-scale graph representation learning
BW Zhao, ZH You, L Hu, ZH Guo, L Wang, ZH Chen, L Wong
Cancers 13 (9), 2111, 2021
强制性开放获取政策： 国家自然科学基金委员会
An improved deep forest model for predicting self-interacting proteins from protein sequence using wavelet transformation
ZH Chen, LP Li, Z He, JR Zhou, Y Li, L Wong
Frontiers in Genetics 10, 90, 2019
强制性开放获取政策： 国家自然科学基金委员会
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