Yuchen Zhang
Orcid: 0000-0003-1991-1560Affiliations:
- Shaanxi Normal University, School of Computer Science, Xi'an, China
According to our database1,
Yuchen Zhang authored at least 18 papers
between 2016 and 2026.
Collaborative distances:
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Bibliography
2026
NCRDLLM: Predicting ncRNA-Drug Response Associations via Multimodal Feature Fusion and Large Language Models.
J. Chem. Inf. Model., 2026
2024
Drug Combination Side Effect Prediction Based on Polypharmacy Network and GraphSAGE Algorithm.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Prediction of miRNA-Disease Associations Based on Hybrid Gated GNN and Multi-Data Integration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
ICDFGF: Identification of potential circRNA-disease associations based on feature graph factorization.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024
2023
Identify potential circRNA-disease associations through a multi-objective evolutionary algorithm.
Inf. Sci., November, 2023
Comput. Biol. Medicine, February, 2023
2022
CircR2Disease v2.0: An Updated Web Server for Experimentally Validated circRNA-disease Associations and Its Application.
Genom. Proteom. Bioinform., 2022
Comput. Biol. Chem., 2022
2021
Prediction of disease-associated circRNAs via circRNA-disease pair graph and weighted nuclear norm minimization.
Knowl. Based Syst., 2021
A comprehensive survey on computational methods of non-coding RNA and disease association prediction.
Briefings Bioinform., 2021
2020
CircRNA-disease associations prediction based on metapath2vec++ and matrix factorization.
Big Data Min. Anal., 2020
Identification of Pathway-Specific Protein Domain by Incorporating Hyperparameter Optimization Based on 2D Convolutional Neural Network.
IEEE Access, 2020
2019
Predicting disease-genes based on network information loss and protein complexes in heterogeneous network.
Inf. Sci., 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Topology potential based seed-growth method to identify protein complexes on dynamic PPI data.
Inf. Sci., 2018
2017
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017
2016
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016
Mining protein complexes based on topology potential from weighted dynamic PPI network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016