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Chun-Qiu Xia
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2020 – today
- 2023
- [j8]Chun-Qiu Xia, Shi-Hao Feng, Ying Xia, Xiaoyong Pan, Hong-Bin Shen:
Leveraging scaffold information to predict protein-ligand binding affinity with an empirical graph neural network. Briefings Bioinform. 24(1) (2023) - [j7]Pei-Dong Zhang, Chun-Qiu Xia, Hong-Bin Shen:
High-accuracy protein model quality assessment using attention graph neural networks. Briefings Bioinform. 24(2) (2023) - [j6]Meihong Pan, Hongyi Xin, Chun-Qiu Xia, Hong-Bin Shen:
Few-shot classification with task-adaptive semantic feature learning. Pattern Recognit. 141: 109594 (2023) - 2022
- [j5]Shi-Hao Feng, Chun-Qiu Xia, Hong-Bin Shen:
CoCoPRED: coiled-coil protein structural feature prediction from amino acid sequence using deep neural networks. Bioinform. 38(3): 720-729 (2022) - [j4]Chun-Qiu Xia, Shi-Hao Feng, Ying Xia, Xiaoyong Pan, Hong-Bin Shen:
Fast protein structure comparison through effective representation learning with contrastive graph neural networks. PLoS Comput. Biol. 18(3) (2022) - [j3]Shi-Hao Feng, Chun-Qiu Xia, Pei-Dong Zhang, Hong-Bin Shen:
Ab-Initio Membrane Protein Amphipathic Helix Structure Prediction Using Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 795-805 (2022) - 2020
- [j2]Chun-Qiu Xia, Xiaoyong Pan, Hong-Bin Shen:
Protein-ligand binding residue prediction enhancement through hybrid deep heterogeneous learning of sequence and structure data. Bioinform. 36(10): 3018-3027 (2020)
2010 – 2019
- 2018
- [j1]Chun-Qiu Xia, Ke Han, Yong Qi, Yang Zhang, Dong-Jun Yu:
A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1315-1324 (2018)
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