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Yang Qiu
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A multimodal deep learning framework for predicting drug–drug interaction events
Y Deng, X Xu, Y Qiu, J Xia, W Zhang, S Liu
Bioinformatics 36 (15), 4316-4322, 2020
2322020
MVGCN: data integration through multi-view graph convolutional network for predicting links in biomedical bipartite networks
H Fu, F Huang, X Liu, Y Qiu, W Zhang
Bioinformatics 38 (2), 426-434, 2022
602022
A comprehensive review of computational methods for drug-drug interaction detection
Y Qiu, Y Zhang, Y Deng, S Liu, W Zhang
IEEE/ACM transactions on computational biology and bioinformatics 19 (4 …, 2021
602021
Predicting drug-drug interactions using multi-modal deep auto-encoders based network embedding and positive-unlabeled learning
Y Zhang, Y Qiu, Y Cui, S Liu, W Zhang
Methods 179, 37-46, 2020
552020
Enhancing drug-drug interaction prediction using deep attention neural networks
S Liu, Y Zhang, Y Cui, Y Qiu, Y Deng, Z Zhang, W Zhang
IEEE/ACM transactions on computational biology and Bioinformatics 20 (2 …, 2022
492022
META-DDIE: predicting drug–drug interaction events with few-shot learning
Y Deng, Y Qiu, X Xu, S Liu, Z Zhang, S Zhu, W Zhang
Briefings in Bioinformatics 23 (1), bbab514, 2022
312022
Structural network embedding using multi-modal deep auto-encoders for predicting drug-drug interactions
S Liu, Z Huang, Y Qiu, YPP Chen, W Zhang
2019 IEEE International conference on bioinformatics and biomedicine (BIBM …, 2019
272019
Predicting drug-disease associations via multi-task learning based on collective matrix factorization
F Huang, Y Qiu, Q Li, S Liu, F Ni
Frontiers in bioengineering and biotechnology 8, 218, 2020
212020
Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction prediction
C Zhao, Y Qiu, S Zhou, S Liu, W Zhang, Y Niu
BMC genomics 21, 1-12, 2020
202020
DSAE-Impute: Learning discriminative stacked autoencoders for imputing single-cell rna-seq data
S Gan, H Deng, Y Qiu, M Alshahrani, S Liu
Current Bioinformatics 17 (5), 440-451, 2022
52022
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