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Qiu Xiao
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2020 – today
- 2024
- [j23]Guanghui Li, Shuwen Li, Cheng Liang, Qiu Xiao, Jiawei Luo:
Drug repositioning based on residual attention network and free multiscale adversarial training. BMC Bioinform. 25(1): 261 (2024) - [j22]Zhuo Huang, Qiu Xiao, Tuo Xiong, Wanwan Shi
, Yide Yang, Guanghui Li
Predicting Drug-Protein Interactions through Branch-Chain Mining and multi-dimensional attention network. Comput. Biol. Medicine 171: 108127 (2024) - 2023
- [j21]Jiancheng Zhong
DAHNGC: A Graph Convolution Model for Drug-Disease Association Prediction by Using Heterogeneous Network. J. Comput. Biol. 30(9): 1019-1033 (2023) - [j20]Guanghui Li, Feifan Zeng, Jiawei Luo, Cheng Liang, Qiu Xiao:
MNCLCDA: predicting circRNA-drug sensitivity associations by using mixed neighbourhood information and contrastive learning. BMC Medical Informatics Decis. Mak. 23(1): 291 (2023) - 2022
- [j19]Qiu Xiao
A survey of circular RNAs in complex diseases: databases, tools and computational methods. Briefings Bioinform. 23(1) (2022) - [j18]Guanghui Li, Tao Fang, Yuejin Zhang, Cheng Liang, Qiu Xiao, Jiawei Luo:
Predicting miRNA-disease associations based on graph attention network with multi-source information. BMC Bioinform. 23(1): 244 (2022) - [j17]Guanghui Li, Yawei Lin, Jiawei Luo, Qiu Xiao, Cheng Liang:
GGAECDA: Predicting circRNA-disease associations using graph autoencoder based on graph representation learning. Comput. Biol. Chem. 99: 107722 (2022) - [c4]HaoRan Zheng, Qiu Xiao, Jiancheng Zhong:
Predicting miRNA-disease associations via multi-channel graph convolutional networks. BIBM 2022: 700-705 - [c3]Jiancheng Zhong, Jiedong Kang, Xingran Song, Qiu Xiao, Yi Pan:
Prediction of miRNA and Disease Association based on Graph Convolution Network using Latent Feature Vector by Positive Samples. BIBM 2022: 706-711 - [c2]Jiancheng Zhong, Pan Cui, Zuohang Qu, Liuping Wang, Qiu Xiao, Yihong Zhu:
Prediction of Drug-Disease Relationship on Heterogeneous Networks Based on Graph Convolution. ISBRA 2022: 243-254 - 2021
- [j16]Qiu Xiao
Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs. Briefings Bioinform. 22(2): 2043-2057 (2021) - [j15]Qiu Xiao, Yu Fu, Yide Yang
NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning. Briefings Bioinform. 22(6) (2021) - [j14]Jiancheng Zhong, Chao Tang, Wei Peng, Minzhu Xie, Yusui Sun, Qiang Tang, Qiu Xiao, Jiahong Yang:
A novel essential protein identification method based on PPI networks and gene expression data. BMC Bioinform. 22(1): 248 (2021) - [j13]Pingjian Ding
Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1562-1571 (2021) - 2020
- [j12]Guanghui Li
Potential circRNA-disease association prediction using DeepWalk and network consistency projection. J. Biomed. Informatics 112: 103624 (2020) - [j11]Qiu Xiao
Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 623-634 (2020)
2010 – 2019
- 2019
- [j10]Guanghui Li
Prediction of LncRNA-Disease Associations Based on Network Consistency Projection. IEEE Access 7: 58849-58856 (2019) - [j9]Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Guanghui Li, Buwen Cao:
CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer. BMC Bioinform. 20(1): 67:1-67:13 (2019) - [j8]Qiu Xiao, Jianhua Dai, Jiawei Luo, Hamido Fujita
Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs. Knowl. Based Syst. 175: 118-129 (2019) - [j7]Qiu Xiao
Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework. IEEE J. Biomed. Health Informatics 23(6): 2661-2669 (2019) - 2018
- [j6]Qiu Xiao
A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations. Bioinform. 34(2): 239-248 (2018) - [j5]Pingjian Ding
Human disease MiRNA inference by combining target information based on heterogeneous manifolds. J. Biomed. Informatics 80: 26-36 (2018) - [j4]Guanghui Li
Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity. J. Biomed. Informatics 82: 169-177 (2018) - [c1]Qiao Zhu, Jiawei Luo, Pingjian Ding
GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network. ISBRA 2018: 13-25 - 2017
- [j3]Jiawei Luo, Qiu Xiao
Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data. IEEE Access 5: 2503-2513 (2017) - [j2]Guanghui Li
Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk. IEEE Access 5: 24032-24039 (2017) - [j1]Jiawei Luo, Qiu Xiao:
A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network. J. Biomed. Informatics 66: 194-203 (2017)
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