Xiangzheng Fu

According to our database, Xiangzheng Fu authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

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

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