Xiangzheng Fu

According to our database, Xiangzheng Fu authored at least 28 papers between 2018 and 2024.

Collaborative distances:

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

2024

Dual-View Learning Based on Images and Sequences for Molecular Property Prediction.

Xiang Zhang, Hongxin Xiang, Xixi Yang, Jingxin Dong, Xiangzheng Fu, Xiangxiang Zeng, Haowen Chen, Keqin Li

IEEE J. Biomed. Health Informatics, March, 2024

An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy.

Rui Wang, Zhecheng Zhou, Xiaonan Wu, Xin Jiang, Linlin Zhuo, Mingzhe Liu, Hao Li, Xiangzheng Fu, Xiaojun Yao

J. Chem. Inf. Model., 2024

ML-NPI: Predicting Interactions between Noncoding RNA and Protein Based on Meta-Learning in a Large-Scale Dynamic Graph.

Tao Wang, Wentao Wang, Xin Jiang, Jiaxing Mao, Linlin Zhuo, Mingzhe Liu, Xiangzheng Fu, Xiaojun Yao

J. Chem. Inf. Model., 2024

Developing explainable models for lncRNA-Targeted drug discovery using graph autoencoders.

Huiying Liu, Xiangzheng Fu, Haiting Chen, Jun Shang, Haoyu Zhou, Wang Zhe, Xiaojun Yao

Future Gener. Comput. Syst., 2024

Multi-source data integration for explainable miRNA-driven drug discovery.

Zhen Li, Qingquan Liao, Wenbin Liu, Peng Xu, Linlin Zhuo, Xiangzheng Fu, Quan Zou

Future Gener. Comput. Syst., 2024

MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor.

Li Wang, Xiangzheng Fu, Jiahao Yang, Xinyi Zhang, Xiucai Ye, Yiping Liu, Tetsuya Sakurai, Xiangxiang Zeng

CoRR, 2024

HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design.

Li Wang, Yiping Li, Xiangzheng Fu, Xiucai Ye, Junfeng Shi, Gary G. Yen, Xiangxiang Zeng

CoRR, 2024

Enhancing drug-food interaction prediction with precision representations through multilevel self-supervised learning.

Jinhang Wei, Zhen Li, Linlin Zhuo, Xiangzheng Fu, Mingjing Wang, Keqin Li, Chengshui Chen

Comput. Biol. Medicine, 2024

Advancing cancer driver gene detection via Schur complement graph augmentation and independent subspace feature extraction.

Xinqian Ma, Zhen Li, Zhenya Du, Yan Xu, Yifan Chen, Linlin Zhuo, Xiangzheng Fu, Ruijun Liu

Comput. Biol. Medicine, 2024

MR2CPPIS: Accurate prediction of protein-protein interaction sites based on multi-scale Res2Net with coordinate attention mechanism.

Yinyin Gong, Rui Li, Yan Liu, Jilong Wang, Buwen Cao, Xiangzheng Fu, Renfa Li, Danny Z. Chen

Comput. Biol. Medicine, 2024

A Novel Approach for Subtype Identification via Multi-omics Data Using Adversarial Autoencoder.

Xia Chen, Hao Nie, Quanwei Chen, Xiang Zhang, Zixing He, Xiuxiu Chao, Weihao Ou, Xiangzheng Fu, Haowen Chen

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

2023

MHAM-NPI: Predicting ncRNA-protein interactions based on multi-head attention mechanism.

Zhecheng Zhou, Zhenya Du, Jinhang Wei, Linlin Zhuo, Shiyao Pan, Xiangzheng Fu, Xinze Lian

Comput. Biol. Medicine, September, 2023

GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learning.

Jinhang Wei, Linlin Zhuo, Zhecheng Zhou, Xinze Lian, Xiangzheng Fu, Xiaojun Yao

Briefings Bioinform., July, 2023

MPCLCDA: predicting circRNA-disease associations by using automatically selected meta-path and contrastive learning.

Wei Liu, Ting Tang, Xu Lu, Xiangzheng Fu, Yu Yang, Li Peng

Briefings Bioinform., July, 2023

HeadTailTransfer: An efficient sampling method to improve the performance of graph neural network method in predicting sparse ncRNA-protein interactions.

Jinhang Wei, Linlin Zhuo, Shiyao Pan, Xinze Lian, Xiaojun Yao, Xiangzheng Fu

Comput. Biol. Medicine, May, 2023

NSRGRN: a network structure refinement method for gene regulatory network inference.

Wei Liu, Yu Yang, Xu Lu, Xiangzheng Fu, Ruiqing Sun, Li Yang, Li Peng

Briefings Bioinform., May, 2023

2022

A dynamic population reduction differential evolution algorithm combining linear and nonlinear strategy piecewise functions.

Kangshun Li, Xiangzheng Fu, Feng Wang, Hassan Jalil

Concurr. Comput. Pract. Exp., 2022

Predicting ncRNA-protein interactions based on dual graph convolutional network and pairwise learning.

Linlin Zhuo, Bosheng Song, Yuansheng Liu, Zejun Li, Xiangzheng Fu

Briefings Bioinform., 2022

RNMFLP: Predicting circRNA-disease associations based on robust nonnegative matrix factorization and label propagation.

Li Peng, Cheng Yang, Li Huang, Xiang Chen, Xiangzheng Fu, Wei Liu

Briefings Bioinform., 2022

DAESTB: inferring associations of small molecule-miRNA via a scalable tree boosting model based on deep autoencoder.

Li Peng, Yuan Tu, Li Huang, Yang Li, Xiangzheng Fu, Xiang Chen

Briefings Bioinform., 2022

NSCGRN: a network structure control method for gene regulatory network inference.

Wei Liu, Xingen Sun, Li Yang, Kaiwen Li, Yu Yang, Xiangzheng Fu

Briefings Bioinform., 2022

2021

ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation.

Lijun Cai, Li Wang, Xiangzheng Fu, Chenxing Xia, Xiangxiang Zeng, Quan Zou

Briefings Bioinform., July, 2021

iEnhancer-XG: interpretable sequence-based enhancers and their strength predictor.

Lijun Cai, Xuanbai Ren, Xiangzheng Fu, Li Peng, Mingyu Gao, Xiangxiang Zeng

Bioinform., 2021

Drug repositioning based on the heterogeneous information fusion graph convolutional network.

Lijun Cai, Changcheng Lu, Junlin Xu, Yajie Meng, Peng Wang, Xiangzheng Fu, Xiangxiang Zeng, Yansen Su

Briefings Bioinform., 2021

Nonnegative Matrix Factorization Framework for Disease-Related CircRNA Prediction.

Cheng Yang, Li Peng, Wei Liu, Xiangzheng Fu, Ni Li

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2020

StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency.

Xiangzheng Fu, Lijun Cai, Xiangxiang Zeng, Quan Zou

Bioinform., 2020

2019

Improved Prediction of Cell-Penetrating Peptides via Effective Orchestrating Amino Acid Composition Feature Representation.

Xiangzheng Fu, Lixia Ke, Lijun Cai, Xiangtao Chen, Xuanbai Ren, Mingyu Gao

IEEE Access, 2019

2018

Improved DNA-Binding Protein Identification by Incorporating Evolutionary Information Into the Chou's PseAAC.

Xiangzheng Fu, Wen Zhu, Bo Liao, Lijun Cai, Lihong Peng, Jialiang Yang

IEEE Access, 2018