Qiguo Dai

According to our database, Qiguo Dai authored at least 16 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hierarchical Negative Sampling Based Graph Contrastive Learning Approach for Drug-Disease Association Prediction.

Yuanxu Wang, Jinmiao Song, Qiguo Dai, Xiaodong Duan

IEEE J. Biomed. Health Informatics, May, 2024

DeepPepPI: A deep cross-dependent framework with information sharing mechanism for predicting plant peptide-protein interactions.

Zhaowei Wang, Jun Meng, Qiguo Dai, Haibin Li, Shihao Xia, Ruirui Yang, Yushi Luan

Expert Syst. Appl., 2024

stHGC: a self-supervised graph representation learning for spatial domain recognition with hybrid graph and spatial regularization.

Runqing Wang, Qiguo Dai, Xiaodong Duan, Quan Zou

Briefings Bioinform., 2024

2023

Constructing discriminative feature space for LncRNA-protein interaction based on deep autoencoder and marginal fisher analysis.

Zhixia Teng, Yiran Zhang, Qiguo Dai, Chengyan Wu, Dan Li

Comput. Biol. Medicine, May, 2023

ISLMI: Predicting lncRNA-miRNA Interactions Based on Information Injection and Second-Order Graph Convolution Network.

Jinmiao Song, Shengwei Tian, Long Yu, Qimeng Yang, Yuanxu Wang, Qiguo Dai, Xiaodong Duan

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

DHNLDA: A Novel Deep Hierarchical Network Based Method for Predicting lncRNA-Disease Associations.

Fansen Xie, Ziqi Yang, Jinmiao Song, Qiguo Dai, Xiaodong Duan

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Predicting RBP Binding Sites of RNA With High-Order Encoding Features and CNN-BLSTM Hybrid Model.

Zhaowei Wang, Qiguo Dai, Jinmiao Song, Xiaodong Duan, Hongpeng Yang, Ziqi Yang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

MD-MLI: Prediction of miRNA-lncRNA Interaction by Using Multiple Features and Hierarchical Deep Learning.

Jinmiao Song, Shengwei Tian, Long Yu, Qimeng Yang, Yan Xing, Chao Zhang, Qiguo Dai, Xiaodong Duan

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

MHADTI: predicting drug-target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms.

Zhen Tian, Xiangyu Peng, Haichuan Fang, Wenjie Zhang, Qiguo Dai, Yangdong Ye

Briefings Bioinform., 2022

Predicting miRNA-disease associations using an ensemble learning framework with resampling method.

Qiguo Dai, Zhaowei Wang, Ziqiang Liu, Xiaodong Duan, Jinmiao Song, Maozu Guo

Briefings Bioinform., 2022

GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs.

Qiguo Dai, Ziqiang Liu, Zhaowei Wang, Xiaodong Duan, Maozu Guo

Briefings Bioinform., 2022

2020

A Stacked Ensemble Learning Framework with Heterogeneous Feature Combinations for Predicting ncRNA-Protein Interaction.

Qiguo Dai, Zhaowei Wang, Jinmiao Song, Xiaodong Duan, Maozu Guo, Zhen Tian

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2016

Recognizing spontaneous micro-expression from eye region.

Xiaodong Duan, Qiguo Dai, Xinhan Wang, Yuangang Wang, Zhichao Hua

Neurocomputing, 2016

2014

CPL: Detecting Protein Complexes by Propagating Labels on Protein-Protein Interaction Network.

Qiguo Dai, Mao-Zu Guo, Xiao-Yan Liu, Zhixia Teng, Chunyu Wang

J. Comput. Sci. Technol., 2014

2013

Measuring gene functional similarity based on group-wise comparison of GO terms.

Zhixia Teng, Maozu Guo, Xiaoyan Liu, Qiguo Dai, Chun-yu Wang, Ping Xuan

Bioinform., 2013

MLPA: Detecting overlapping communities by multi-label propagation approach.

Qiguo Dai, Maozu Guo, Yang Liu, Xiaoyan Liu, Ling Chen

Proceedings of the IEEE Congress on Evolutionary Computation, 2013