受强制性开放获取政策约束的文章 - Ping Xuan了解详情
无法在其他位置公开访问的文章：35 篇
Graph convolutional autoencoder and generative adversarial network-based method for predicting drug-target interactions
C Sun, P Xuan, T Zhang, Y Ye
IEEE/ACM transactions on computational biology and bioinformatics 19 (1 …, 2020
强制性开放获取政策： 国家自然科学基金委员会
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA–disease association prediction
N Sheng, H Cui, T Zhang, P Xuan
Briefings in Bioinformatics 22 (3), bbaa067, 2021
强制性开放获取政策： 国家自然科学基金委员会
Graph convolutional autoencoder and fully-connected autoencoder with attention mechanism based method for predicting drug-disease associations
P Xuan, L Gao, N Sheng, T Zhang, T Nakaguchi
IEEE Journal of Biomedical and Health Informatics 25 (5), 1793-1804, 2020
强制性开放获取政策： 国家自然科学基金委员会
Graph triple-attention network for disease-related lncRNA prediction
P Xuan, L Zhan, H Cui, T Zhang, T Nakaguchi, W Zhang
IEEE journal of biomedical and health informatics 26 (6), 2839-2849, 2021
强制性开放获取政策： 国家自然科学基金委员会
Prediction of drug–target interactions based on network representation learning and ensemble learning
P Xuan, B Chen, T Zhang, Y Yang
IEEE/ACM transactions on computational biology and bioinformatics 18 (6 …, 2020
强制性开放获取政策： 国家自然科学基金委员会
Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes
P Xuan, H Cui, H Zhang, T Zhang, L Wang, T Nakaguchi, HBL Duh
Knowledge-Based Systems 236, 107360, 2022
强制性开放获取政策： 国家自然科学基金委员会
Multi-channel graph attention autoencoders for disease-related lncRNAs prediction
N Sheng, L Huang, Y Wang, J Zhao, P Xuan, L Gao, Y Cao
Briefings in bioinformatics 23 (2), bbab604, 2022
强制性开放获取政策： 国家自然科学基金委员会
Inferring disease-associated microRNAs in heterogeneous networks with node attributes
P Xuan, T Shen, X Wang, T Zhang, W Zhang
IEEE/ACM Transactions on Computational Biology and Bioinformatics 17 (3 …, 2018
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug–protein interaction prediction
P Xuan, M Fan, H Cui, T Zhang, T Nakaguchi
Briefings in bioinformatics 23 (1), bbab453, 2022
强制性开放获取政策： 国家自然科学基金委员会
Integrating multi-scale neighbouring topologies and cross-modal similarities for drug–protein interaction prediction
P Xuan, Y Zhang, H Cui, T Zhang, M Guo, T Nakaguchi
Briefings in Bioinformatics, 2021
强制性开放获取政策： 国家自然科学基金委员会
A vertical and horizontal crossover sine cosine algorithm with pattern search for optimal power flow in power systems
X Weng, P Xuan, AA Heidari, Z Cai, H Chen, RF Mansour, M Ragab
Energy 271, 127000, 2023
强制性开放获取政策： 国家自然科学基金委员会
Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs
P Xuan, S Wang, H Cui, Y Zhao, T Zhang, P Wu
Briefings in Bioinformatics 23 (5), bbac361, 2022
强制性开放获取政策： 国家自然科学基金委员会
Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction
P Xuan, M Wang, Y Liu, D Wang, T Zhang, T Nakaguchi
Briefings in Bioinformatics 23 (3), bbac126, 2022
强制性开放获取政策： 国家自然科学基金委员会
Learning multi-scale heterogenous network topologies and various pairwise attributes for drug–disease association prediction
H Zhang, H Cui, T Zhang, Y Cao, P Xuan
Briefings in Bioinformatics 23 (2), bbac009, 2022
强制性开放获取政策： 国家自然科学基金委员会
Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs
P Xuan, Z Gong, H Cui, B Li, T Zhang
Briefings in Bioinformatics 23 (3), bbac089, 2022
强制性开放获取政策： 国家自然科学基金委员会
Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA–disease association prediction
P Xuan, D Wang, H Cui, T Zhang, T Nakaguchi
Briefings in Bioinformatics 23 (1), bbab428, 2022
强制性开放获取政策： 国家自然科学基金委员会
Semantic meta-path enhanced global and local topology learning for lncRNA-disease association prediction
P Xuan, Y Zhao, H Cui, L Zhan, Q Jin, T Zhang, T Nakaguchi
IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (2 …, 2022
强制性开放获取政策： 国家自然科学基金委员会
Learning multi-scale heterogeneous representations and global topology for drug-target interaction prediction
P Xuan, K Hu, H Cui, T Zhang, T Nakaguchi
IEEE Journal of Biomedical and Health Informatics 26 (4), 1891-1902, 2021
强制性开放获取政策： 国家自然科学基金委员会
Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation
P Xuan, X Wu, H Cui, Q Jin, L Wang, T Zhang, T Nakaguchi, HBL Duh
Applied Soft Computing 133, 109905, 2023
强制性开放获取政策： 国家自然科学基金委员会
Prediction of drug–disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets
L Gao, H Cui, T Zhang, N Sheng, P Xuan
Briefings in Bioinformatics 23 (1), bbab467, 2022
强制性开放获取政策： 国家自然科学基金委员会
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