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Xiaoyang Jing
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2020 – today
- 2024
- [j7]Ruiquan Ge, Yixiao Xia, Minchao Jiang, Gangyong Jia, Xiaoyang Jing, Ye Li, Yunpeng Cai:
HybAVPnet: A Novel Hybrid Network Architecture for Antiviral Peptides Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1358-1365 (2024) - 2023
- [j6]Fandi Wu, Xiaoyang Jing, Xiao Luo, Jinbo Xu:
Improving protein structure prediction using templates and sequence embedding. Bioinform. 39(1) (2023) - 2021
- [j5]Xiaoyang Jing, Jinbo Xu:
Improved protein model quality assessment by integrating sequential and pairwise features using deep learning. Bioinform. 36(22-23): 5361-5367 (2021) - [j4]Xiaoyang Jing, Jinbo Xu:
Fast and effective protein model refinement using deep graph neural networks. Nat. Comput. Sci. 1(7): 462-469 (2021) - 2020
- [b1]Qiwen Dong, Xiaoyang Jing, Aoying Zhou, Xiuzhen Hu:
Biological Language Model - Theory and Application. East China Normal University Scientific Reports 12, WorldScientific 2020, ISBN 9789811212949, pp. 1-264 - [j3]Xiaoyang Jing, Qiwen Dong, Daocheng Hong, Ruqian Lu:
Amino Acid Encoding Methods for Protein Sequences: A Comprehensive Review and Assessment. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 1918-1931 (2020) - [p1]Xiaoyang Jing, Hong Zeng, Sheng Wang, Jinbo Xu:
A Web-Based Protocol for Interprotein Contact Prediction by Deep Learning. Protein-Protein Interaction Networks 2020: 67-80
2010 – 2019
- 2017
- [j2]Xiaoyang Jing, Qiwen Dong:
MQAPRank: improved global protein model quality assessment by learning-to-rank. BMC Bioinform. 18(1): 275:1-275:8 (2017) - [j1]Xiaoyang Jing, Qiwen Dong, Ruqian Lu:
RRCRank: a fusion method using rank strategy for residue-residue contact prediction. BMC Bioinform. 18(1): 390 (2017) - 2016
- [c2]Xiaoyang Jing, Qiwen Dong:
Improved protein residue-residue contacts prediction using learning-to-rank. BIBM 2016: 116-121 - 2015
- [c1]Xiaoyang Jing, Qiwen Dong, Xuan Liu, Bin Liu:
Protein model quality assessment by learning-to-rank. BIBM 2015: 91-96
Coauthor Index
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