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Qiguo Dai
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2020 – today
- 2024
- [j14]Runqing Wang
, Qiguo Dai
stHGC: a self-supervised graph representation learning for spatial domain recognition with hybrid graph and spatial regularization. Briefings Bioinform. 26(1) (2024) - [j13]Zhaowei Wang
DeepPepPI: A deep cross-dependent framework with information sharing mechanism for predicting plant peptide-protein interactions. Expert Syst. Appl. 252: 124168 (2024) - [j12]Yuanxu Wang
Hierarchical Negative Sampling Based Graph Contrastive Learning Approach for Drug-Disease Association Prediction. IEEE J. Biomed. Health Informatics 28(5): 3146-3157 (2024) - 2023
- [j11]Zhixia Teng, Yiran Zhang, Qiguo Dai, Chengyan Wu, Dan Li:
Constructing discriminative feature space for LncRNA-protein interaction based on deep autoencoder and marginal fisher analysis. Comput. Biol. Medicine 157: 106711 (2023) - [j10]Jinmiao Song
ISLMI: Predicting lncRNA-miRNA Interactions Based on Information Injection and Second-Order Graph Convolution Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1737-1745 (2023) - 2022
- [j9]Qiguo Dai, Zhaowei Wang
Predicting miRNA-disease associations using an ensemble learning framework with resampling method. Briefings Bioinform. 23(1) (2022) - [j8]Qiguo Dai, Ziqiang Liu
GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs. Briefings Bioinform. 23(5) (2022) - [j7]Zhen Tian
MHADTI: predicting drug-target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms. Briefings Bioinform. 23(6) (2022) - [j6]Jinmiao Song
MD-MLI: Prediction of miRNA-lncRNA Interaction by Using Multiple Features and Hierarchical Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1724-1733 (2022) - [j5]Zhaowei Wang
Predicting RBP Binding Sites of RNA With High-Order Encoding Features and CNN-BLSTM Hybrid Model. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2409-2419 (2022) - [j4]Fansen Xie
DHNLDA: A Novel Deep Hierarchical Network Based Method for Predicting lncRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3395-3403 (2022) - 2020
- [c2]Qiguo Dai, Zhaowei Wang
A Stacked Ensemble Learning Framework with Heterogeneous Feature Combinations for Predicting ncRNA-Protein Interaction. BIBM 2020: 67-71
2010 – 2019
- 2016
- [j3]Xiaodong Duan, Qiguo Dai, Xinhan Wang, Yuangang Wang, Zhichao Hua:
Recognizing spontaneous micro-expression from eye region. Neurocomputing 217: 27-36 (2016) - 2014
- [j2]Qiguo Dai, Mao-Zu Guo, Xiao-Yan Liu, Zhixia Teng, Chunyu Wang
CPL: Detecting Protein Complexes by Propagating Labels on Protein-Protein Interaction Network. J. Comput. Sci. Technol. 29(6): 1083-1093 (2014) - 2013
- [j1]Zhixia Teng, Maozu Guo, Xiaoyan Liu, Qiguo Dai, Chun-yu Wang, Ping Xuan
Measuring gene functional similarity based on group-wise comparison of GO terms. Bioinform. 29(11): 1424-1432 (2013) - [c1]Qiguo Dai, Maozu Guo, Yang Liu, Xiaoyan Liu, Ling Chen:
MLPA: Detecting overlapping communities by multi-label propagation approach. IEEE Congress on Evolutionary Computation 2013: 681-688
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