Yahui Long (龙亚辉)
Yahui Long (龙亚辉)
A*STAR, Singapore
Geverifieerd e-mailadres voor hnu.edu.cn - Homepage
Geciteerd door
Geciteerd door
NTSHMDA: prediction of human microbe-disease association based on random walk by integrating network topological similarity
J Luo, Y Long
IEEE/ACM transactions on computational biology and bioinformatics 17 (4 …, 2018
Predicting human microbe–drug associations via graph convolutional network with conditional random field
Y Long, M Wu, CK Kwoh, J Luo, X Li
Bioinformatics 36 (19), 4918-4927, 2020
Predicting Human Microbe-Disease Associations via Graph Attention Networks with Inductive Matrix Completion
Y Long, J Luo, Y Zhang, Y Xia
Briefings in Bioinformatics, 2020
Pre-training graph neural networks for link prediction in biomedical networks
Y Long, M Wu, Y Liu, Y Fang, CK Kwoh, J Chen, J Luo, X Li
Bioinformatics 38 (8), 2254-2262, 2022
Ensembling graph attention networks for human microbe–drug association prediction
Y Long, M Wu, Y Liu, CK Kwoh, J Luo, X Li
Bioinformatics 36 (Supplement_2), i779-i786, 2020
WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network
Y Long, J Luo
BMC Bioinformatics, 2019
Graph contextualized attention network for predicting synthetic lethality in human cancers
Y Long, M Wu, Y Liu, J Zheng, CK Kwoh, J Luo, X Li
Bioinformatics 37 (16), 2432-2440, 2021
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST
Y Long, KS Ang, M Li, KLK Chong, R Sethi, C Zhong, H Xu, Z Ong, ...
Nature Communications 14 (1), 1155, 2023
Association mining to identify microbe drug interactions based on heterogeneous network embedding representation
Y Long, J Luo
IEEE Journal of Biomedical and Health Informatics, 2020
Deep learning based DNA: RNA triplex forming potential prediction
Y Zhang, Y Long, CK Kwoh
BMC bioinformatics 21, 1-13, 2020
DL-CRISPR: a deep learning method for off-target activity prediction in CRISPR/Cas9 with data augmentation
Y Zhang, Y Long, R Yin, CK Kwoh
IEEE Access 8, 76610-76617, 2020
Energy-efficient multi-focus image fusion based on neighbor distance and morphology
C Liu, Y Long, J Mao
Optik 127 (23), 11354-11363, 2016
Heterogeneous graph attention networks for drug virus association prediction
Y Long, Y Zhang, M Wu, S Peng, CK Kwoh, J Luo, X Li
Methods 198, 11-18, 2022
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks
Y Long, Y Zhang, M Wu, S Peng, CK Kwoh, J Luo, X Li
IEEE International Conference on Bioinformatics and Biomedicine (BIBM2020), 2020
An effective image fusion algorithm based on grey relation of similarity and morphology
C Liu, Y Long, J Mao, H Zhang, R Huang, Y Dai
Journal of Ambient Intelligence and Humanized Computing, 1-14, 2018
Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks
X Shi, J Zhu, Y Long, C Liang
Briefings in Bioinformatics, 2023
Class similarity network for coding and long non-coding RNA classification
Y Zhang, Y Long, CK Kwoh
BMC bioinformatics 22, 1-14, 2021
CMMS-GCL: Cross-Modality Metabolic Stability Prediction with Graph Contrastive Learning
BX Du, Y Long, X Li, M Wu, JY Shi
Bioinformatics, 2023
Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism
B Wang, J Luo, Y Liu, W Shi, Z Xiong, C Shen, Y Long
Briefings in Bioinformatics, 2023
Deciphering spatial domains from spatial multi-omics with SpatialGlue
Y Long, KS Ang, S Liao, R Sethi, Y Heng, C Zhong, XU Hang, N Husna, ...
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Artikelen 1–20