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Xiangzheng Fu
Xiangzheng Fu
Hong Kong Baptist University, Hong Kong
在 hnu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Toward better drug discovery with knowledge graph
X Zeng, X Tu, Y Liu, X Fu, Y Su
Current opinion in structural biology 72, 114-126, 2022
2012022
StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency
X Fu, L Cai, X Zeng, Q Zou
Bioinformatics 36 (10), 3028-3034, 2020
1202020
Drug repositioning based on the heterogeneous information fusion graph convolutional network
L Cai, C Lu, J Xu, Y Meng, P Wang, X Fu, X Zeng, Y Su
Briefings in bioinformatics 22 (6), bbab319, 2021
1122021
iEnhancer-XG: interpretable sequence-based enhancers and their strength predictor
L Cai, X Ren, X Fu, L Peng, M Gao, X Zeng
Bioinformatics 37 (8), 1060-1067, 2021
752021
ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation
L Cai, L Wang, X Fu, C Xia, X Zeng, Q Zou
Briefings in Bioinformatics 22 (4), bbaa367, 2021
672021
Improved DNA-binding protein identification by incorporating evolutionary information into the Chou’s PseAAC
X Fu, W Zhu, B Liao, L Cai, L Peng, J Yang
IEEE Access 6, 66545-66556, 2018
562018
RNMFLP: predicting circRNA–disease associations based on robust nonnegative matrix factorization and label propagation
L Peng, C Yang, L Huang, X Chen, X Fu, W Liu
Briefings in bioinformatics 23 (5), bbac155, 2022
472022
Improved pre-miRNAs identification through mutual information of pre-miRNA sequences and structures
X Fu, W Zhu, L Cai, B Liao, L Peng, Y Chen, J Yang
Frontiers in genetics 10, 119, 2019
432019
DAESTB: inferring associations of small molecule–miRNA via a scalable tree boosting model based on deep autoencoder
L Peng, Y Tu, L Huang, Y Li, X Fu, X Chen
Briefings in Bioinformatics 23 (6), bbac478, 2022
342022
MPCLCDA: predicting circRNA–disease associations by using automatically selected meta-path and contrastive learning
W Liu, T Tang, X Lu, X Fu, Y Yang, L Peng
Briefings in Bioinformatics 24 (4), bbad227, 2023
262023
Pretraining model for biological sequence data
B Song, Z Li, X Lin, J Wang, T Wang, X Fu
Briefings in functional genomics 20 (3), 181-195, 2021
262021
Prediction of protein subcellular localization based on fusion of multi-view features
B Li, L Cai, B Liao, X Fu, P Bing, J Yang
Molecules 24 (5), 919, 2019
222019
Joint masking and self-supervised strategies for inferring small molecule-miRNA associations
Z Zhou, L Zhuo, X Fu, J Lv, Q Zou, R Qi
Molecular Therapy-Nucleic Acids 35 (1), 2024
212024
Joint deep autoencoder and subgraph augmentation for inferring microbial responses to drugs
Z Zhou, L Zhuo, X Fu, Q Zou
Briefings in Bioinformatics 25 (1), bbad483, 2024
192024
NSCGRN: a network structure control method for gene regulatory network inference
W Liu, X Sun, L Yang, K Li, Y Yang, X Fu
Briefings in bioinformatics 23 (5), bbac156, 2022
182022
Improved prediction of cell-penetrating peptides via effective orchestrating amino acid composition feature representation
X Fu, L Ke, L Cai, X Chen, X Ren, M Gao
IEEE Access 7, 163547-163555, 2019
162019
NSRGRN: a network structure refinement method for gene regulatory network inference
W Liu, Y Yang, X Lu, X Fu, R Sun, L Yang, L Peng
Briefings in Bioinformatics 24 (3), bbad129, 2023
152023
Diff-AMP: tailored designed antimicrobial peptide framework with all-in-one generation, identification, prediction and optimization
R Wang, T Wang, L Zhuo, J Wei, X Fu, Q Zou, X Yao
Briefings in Bioinformatics 25 (2), bbae078, 2024
132024
Headtailtransfer: an efficient sampling method to improve the performance of graph neural network method in predicting sparse ncrna–protein interactions
J Wei, L Zhuo, S Pan, X Lian, X Yao, X Fu
Computers in Biology and Medicine 157, 106783, 2023
122023
GAM-MDR: probing miRNA–drug resistance using a graph autoencoder based on random path masking
Z Zhou, Z Du, X Jiang, L Zhuo, Y Xu, X Fu, M Liu, Q Zou
Briefings in Functional Genomics, elae005, 2024
112024
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