Qiu Xiao
Orcid: 0000-0002-4726-7154
According to our database1,
Qiu Xiao
authored at least 25 papers
between 2017 and 2023.
Collaborative distances:
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Bibliography
2023
MNCLCDA: predicting circRNA-drug sensitivity associations by using mixed neighbourhood information and contrastive learning.
BMC Medical Informatics Decis. Mak., December, 2023
DAHNGC: A Graph Convolution Model for Drug-Disease Association Prediction by Using Heterogeneous Network.
J. Comput. Biol., September, 2023
2022
GGAECDA: Predicting circRNA-disease associations using graph autoencoder based on graph representation learning.
Comput. Biol. Chem., 2022
Predicting miRNA-disease associations based on graph attention network with multi-source information.
BMC Bioinform., 2022
A survey of circular RNAs in complex diseases: databases, tools and computational methods.
Briefings Bioinform., 2022
Prediction of Drug-Disease Relationship on Heterogeneous Networks Based on Graph Convolution.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022
Prediction of miRNA and Disease Association based on Graph Convolution Network using Latent Feature Vector by Positive Samples.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Predicting miRNA-disease associations via multi-channel graph convolutional networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
A novel essential protein identification method based on PPI networks and gene expression data.
BMC Bioinform., 2021
Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs.
Briefings Bioinform., 2021
NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning.
Briefings Bioinform., 2021
2020
Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Potential circRNA-disease association prediction using DeepWalk and network consistency projection.
J. Biomed. Informatics, 2020
2019
Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework.
IEEE J. Biomed. Health Informatics, 2019
Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs.
Knowl. Based Syst., 2019
CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer.
BMC Bioinform., 2019
IEEE Access, 2019
2018
Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity.
J. Biomed. Informatics, 2018
Human disease MiRNA inference by combining target information based on heterogeneous manifolds.
J. Biomed. Informatics, 2018
A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations.
Bioinform., 2018
GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018
2017
A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network.
J. Biomed. Informatics, 2017
Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data.
IEEE Access, 2017
Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk.
IEEE Access, 2017