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2020 – today
- 2024
[j25]Jinhang Wei
, Zhen Li, Linlin Zhuo, Xiangzheng Fu, Mingjing Wang, Keqin Li, Chengshui Chen:
Enhancing drug-food interaction prediction with precision representations through multilevel self-supervised learning. Comput. Biol. Medicine 171: 108104 (2024)- [j24]Xinqian Ma, Zhen Li, Zhenya Du, Yan Xu, Yifan Chen, Linlin Zhuo, Xiangzheng Fu, Ruijun Liu:
Advancing cancer driver gene detection via Schur complement graph augmentation and independent subspace feature extraction. Comput. Biol. Medicine 174: 108484 (2024) - [j23]Yinyin Gong, Rui Li, Yan Liu, Jilong Wang, Buwen Cao, Xiangzheng Fu, Renfa Li, Danny Z. Chen:
MR2CPPIS: Accurate prediction of protein-protein interaction sites based on multi-scale Res2Net with coordinate attention mechanism. Comput. Biol. Medicine 176: 108543 (2024) - [j22]Huiying Liu, Xiangzheng Fu, Haiting Chen, Jun Shang, Haoyu Zhou, Wang Zhe, Xiaojun Yao:
Developing explainable models for lncRNA-Targeted drug discovery using graph autoencoders. Future Gener. Comput. Syst. 160: 29-39 (2024) - [j21]Zhen Li, Qingquan Liao, Wenbin Liu, Peng Xu, Linlin Zhuo, Xiangzheng Fu, Quan Zou:
Multi-source data integration for explainable miRNA-driven drug discovery. Future Gener. Comput. Syst. 160: 109-119 (2024) - [j20]Rui Wang, Zhecheng Zhou, Xiaonan Wu, Xin Jiang, Linlin Zhuo, Mingzhe Liu, Hao Li, Xiangzheng Fu, Xiaojun Yao:
An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy. J. Chem. Inf. Model. 64(7): 2798-2806 (2024) - [j19]Tao Wang, Wentao Wang, Xin Jiang, Jiaxing Mao, Linlin Zhuo, Mingzhe Liu, Xiangzheng Fu, Xiaojun Yao:
ML-NPI: Predicting Interactions between Noncoding RNA and Protein Based on Meta-Learning in a Large-Scale Dynamic Graph. J. Chem. Inf. Model. 64(7): 2912-2920 (2024) - [j18]Tao Wang, Linlin Zhuo, Yifan Chen, Xiangzheng Fu, Xiangxiang Zeng, Quan Zou:
ECD-CDGI: An efficient energy-constrained diffusion model for cancer driver gene identification. PLoS Comput. Biol. 20(8): 1012400 (2024) - [j17]Xiang Zhang, Hongxin Xiang, Xixi Yang, Jingxin Dong, Xiangzheng Fu, Xiangxiang Zeng, Haowen Chen, Keqin Li:
Dual-View Learning Based on Images and Sequences for Molecular Property Prediction. IEEE J. Biomed. Health Informatics 28(3): 1564-1574 (2024) - [c3]Li Peng, Wang Wang, Cheng Yang, Wenhui Xiao, Xiangzheng Fu, Yifan Chen:
Dual-Stream Heterogeneous Graph Neural Network Based on Zero-Shot Embeddings for Predicting miRNA-Drug Sensitivity. BIBM 2024: 1122-1128 - [c2]Xia Chen, Hao Nie, Quanwei Chen, Xiang Zhang, Zixing He, Xiuxiu Chao, Weihao Ou, Xiangzheng Fu, Haowen Chen:
A Novel Approach for Subtype Identification via Multi-omics Data Using Adversarial Autoencoder. ISBRA (1) 2024: 495-505 - [i2]Li Wang, Yiping Li, Xiangzheng Fu, Xiucai Ye, Junfeng Shi, Gary G. Yen, Xiangxiang Zeng:
HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design. CoRR abs/2405.00753 (2024) - [i1]Li Wang, Xiangzheng Fu, Jiahao Yang, Xinyi Zhang, Xiucai Ye, Yiping Liu, Tetsuya Sakurai, Xiangxiang Zeng:
MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor. CoRR abs/2406.02610 (2024) - 2023
- [j16]Wei Liu, Yu Yang, Xu Lu, Xiangzheng Fu, Ruiqing Sun, Li Yang, Li Peng:
NSRGRN: a network structure refinement method for gene regulatory network inference. Briefings Bioinform. 24(3) (2023) - [j15]Wei Liu, Ting Tang, Xu Lu, Xiangzheng Fu, Yu Yang, Li Peng:
MPCLCDA: predicting circRNA-disease associations by using automatically selected meta-path and contrastive learning. Briefings Bioinform. 24(4) (2023) - [j14]Jinhang Wei, Linlin Zhuo, Zhecheng Zhou, Xinze Lian, Xiangzheng Fu, Xiaojun Yao:
GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learning. Briefings Bioinform. 24(4) (2023) - [j13]Jinhang Wei, Linlin Zhuo, Shiyao Pan, Xinze Lian, Xiaojun Yao, Xiangzheng Fu:
HeadTailTransfer: An efficient sampling method to improve the performance of graph neural network method in predicting sparse ncRNA-protein interactions. Comput. Biol. Medicine 157: 106783 (2023) - [j12]Zhecheng Zhou, Zhenya Du, Jinhang Wei, Linlin Zhuo, Shiyao Pan, Xiangzheng Fu, Xinze Lian:
MHAM-NPI: Predicting ncRNA-protein interactions based on multi-head attention mechanism. Comput. Biol. Medicine 163: 107143 (2023) - 2022
- [j11]Wei Liu, Xingen Sun, Li Yang, Kaiwen Li, Yu Yang, Xiangzheng Fu:
NSCGRN: a network structure control method for gene regulatory network inference. Briefings Bioinform. 23(5) (2022) - [j10]Li Peng, Cheng Yang, Li Huang, Xiang Chen, Xiangzheng Fu, Wei Liu:
RNMFLP: Predicting circRNA-disease associations based on robust nonnegative matrix factorization and label propagation. Briefings Bioinform. 23(5) (2022) - [j9]Li Peng, Yuan Tu, Li Huang, Yang Li, Xiangzheng Fu, Xiang Chen:
DAESTB: inferring associations of small molecule-miRNA via a scalable tree boosting model based on deep autoencoder. Briefings Bioinform. 23(6) (2022) - [j8]Linlin Zhuo, Bosheng Song, Yuansheng Liu, Zejun Li, Xiangzheng Fu:
Predicting ncRNA-protein interactions based on dual graph convolutional network and pairwise learning. Briefings Bioinform. 23(6) (2022) - [j7]Kangshun Li, Xiangzheng Fu, Feng Wang, Hassan Jalil:
A dynamic population reduction differential evolution algorithm combining linear and nonlinear strategy piecewise functions. Concurr. Comput. Pract. Exp. 34(6) (2022) - 2021
- [j6]Lijun Cai, Li Wang, Xiangzheng Fu, Chenxing Xia, Xiangxiang Zeng, Quan Zou:
ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation. Briefings Bioinform. 22(4) (2021) - [j5]Lijun Cai, Changcheng Lu, Junlin Xu, Yajie Meng, Peng Wang, Xiangzheng Fu, Xiangxiang Zeng, Yansen Su:
Drug repositioning based on the heterogeneous information fusion graph convolutional network. Briefings Bioinform. 22(6) (2021) - [j4]Lijun Cai, Xuanbai Ren, Xiangzheng Fu, Li Peng, Mingyu Gao, Xiangxiang Zeng:
iEnhancer-XG: interpretable sequence-based enhancers and their strength predictor. Bioinform. 37(8): 1060-1067 (2021) - [c1]Cheng Yang, Li Peng, Wei Liu, Xiangzheng Fu, Ni Li:
Nonnegative Matrix Factorization Framework for Disease-Related CircRNA Prediction. ICA3PP (3) 2021: 620-631 - 2020
- [j3]Xiangzheng Fu, Lijun Cai, Xiangxiang Zeng, Quan Zou:
StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency. Bioinform. 36(10): 3028-3034 (2020)
2010 – 2019
- 2019
- [j2]Xiangzheng Fu, Lixia Ke, Lijun Cai, Xiangtao Chen, Xuanbai Ren, Mingyu Gao:
Improved Prediction of Cell-Penetrating Peptides via Effective Orchestrating Amino Acid Composition Feature Representation. IEEE Access 7: 163547-163555 (2019) - 2018
- [j1]Xiangzheng Fu, Wen Zhu, Bo Liao, Lijun Cai, Lihong Peng, Jialiang Yang:
Improved DNA-Binding Protein Identification by Incorporating Evolutionary Information Into the Chou's PseAAC. IEEE Access 6: 66545-66556 (2018)
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