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Fuhao Zhang
Fuhao Zhang
College of Information Engineering, Northwest A&F University
Verified email at nwafu.edu.cn
Title
Cited by
Cited by
Year
Protein–protein interaction site prediction through combining local and global features with deep neural networks
M Zeng, F Zhang, FX Wu, Y Li, J Wang, M Li
Bioinformatics 36 (4), 1114-1120, 2020
1902020
DeepFunc: a deep learning framework for accurate prediction of protein functions from protein sequences and interactions
F Zhang, H Song, M Zeng, Y Li, L Kurgan, M Li
Proteomics 19 (12), 1900019, 2019
862019
Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI
L Liu, S Chen, F Zhang, FX Wu, Y Pan, J Wang
Neural Computing and Applications 32, 6545-6558, 2020
762020
SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning
M Zeng, C Lu, F Zhang, Y Li, FX Wu, Y Li, M Li
Methods 179, 73-80, 2020
682020
Deep matrix factorization improves prediction of human circRNA-disease associations
C Lu, M Zeng, F Zhang, FX Wu, M Li, J Wang
IEEE Journal of Biomedical and Health Informatics 25 (3), 891-899, 2020
532020
DeepDISOBind: accurate prediction of RNA-, DNA-and protein-binding intrinsically disordered residues with deep multi-task learning
F Zhang, B Zhao, W Shi, M Li, L Kurgan
Briefings in bioinformatics 23 (1), bbab521, 2022
422022
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding
M Zeng, Y Wu, C Lu, F Zhang, FX Wu, M Li
Briefings in Bioinformatics 23 (1), bbab360, 2022
412022
A deep learning framework for gene ontology annotations with sequence-and network-based information
F Zhang, H Song, M Zeng, FX Wu, Y Li, Y Pan, M Li
IEEE/ACM transactions on computational biology and bioinformatics 18 (6 …, 2020
272020
DeepPPF: A deep learning framework for predicting protein family
SM Yusuf, F Zhang, M Zeng, M Li
Neurocomputing 428, 19-29, 2021
192021
PROBselect: accurate prediction of protein-binding residues from proteins sequences via dynamic predictor selection
F Zhang, W Shi, J Zhang, M Zeng, M Li, L Kurgan
Bioinformatics 36 (Supplement_2), i735-i744, 2020
172020
LncRNA–disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques
M Zeng, C Lu, F Zhang, Z Lu, FX Wu, Y Li, M Li
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
72019
DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning
Y Li, M Zeng, F Zhang, FX Wu, M Li
Bioinformatics 39 (1), btac779, 2023
62023
A deep learning framework for predicting protein functions with co-occurrence of GO terms
M Li, W Shi, F Zhang, M Zeng, Y Li
IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (2 …, 2022
62022
HybridRNAbind: prediction of RNA interacting residues across structure-annotated and disorder-annotated proteins
F Zhang, M Li, J Zhang, L Kurgan
Nucleic Acids Research 51 (5), e25-e25, 2023
32023
DeepPRObind: Modular deep learner that accurately predicts structure and disorder-annotated protein binding residues
F Zhang, M Li, J Zhang, W Shi, L Kurgan
Journal of Molecular Biology 435 (14), 167945, 2023
22023
A comprehensive computational benchmark for evaluating deep learning-based protein function prediction approaches
W Wang, Y Shuai, Q Yang, F Zhang, M Zeng, M Li
Briefings in Bioinformatics 25 (2), bbae050, 2024
2024
Machine learning methods for predicting protein-nucleic acids interactions
M Li, F Zhang, L Kurgan
Machine Learning in Bioinformatics of Protein Sequences: Algorithms …, 2023
2023
Supplementary Materials for “HybridRNAbind: Prediction of RNA interacting residues across structure-annotated and disorder-annotated proteins”
F Zhang, M Li, J Zhang, L Kurgan
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