Xiwei Tang

Sun Yat-sen University — China

Biochemistry, Genetics and Molecular Biology · Life Sciences

12h-index562citations34works4.12yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Bioinformatics and Genomic Networks(22), Computational Drug Discovery Methods(17), Machine Learning in Bioinformatics(14), Gene expression and cancer classification(5), Cancer-related molecular mechanisms research(4)

Publications34 total

Prediction of the dynamic response on the spread catenary mooring system for FPSO by long short-term memory method
Ocean Engineering·2025· 2 cited
A Novel Drug–Disease Association Prediction Method Based on Deep Non-Negative Matrix Factorization with Local Graph Feature
Interdisciplinary Sciences Computational Life Sciences·2025· 2 citedOpen Access
Prediction of mooring tension of floating offshore wind turbines by CNN-LSTM-ATT and Chebyshev polynomials
Ocean Engineering·2025· 7 cited
Prediction of the Dynamic Response on the Spread Catenary Mooring System for Fpso by Long Short-Term Memory Method
SSRN Electronic Journal·2025Open Access
Prediction of the Dynamic Response on the Spread Catenary Mooring System for Fpso by Long Short-Term Memory Method
SSRN Electronic Journal·2025Open Access
Drug repurposing based on the DTD-GNN graph neural network: revealing the relationships among drugs, targets and diseases
BMC Genomics·2024· 18 citedOpen Access
Drug repurposing Based on the DTD-GNN Graph Neural Network: Revealing the Relationships among Drugs, Targets and Diseases
Research Square (Research Square)·2024Open Access
TF-DTA: A Deep Learning Approach Using Transformer Encoder to Predict Drug-Target Binding Affinity
2023· 8 cited
Predicting Plant miRNA-lncRNA Interactions via a Deep Learning Method
IEEE Transactions on NanoBioscience·2023· 8 cited
A Transformer-based Model for Plant miRNA-lncRNA Interaction Prediction
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)·2022· 3 cited
iCDA-CMG: identifying circRNA-disease associations by federating multi-similarity fusion and collective matrix completion
Molecular Genetics and Genomics·2020· 25 cited
Breast Cancer Candidate Gene Detection Through Integration of Subcellular Localization Data With Protein–Protein Interaction Networks
IEEE Transactions on NanoBioscience·2020· 32 cited
Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs
Briefings in Bioinformatics·2020· 28 cited
A Novel Algorithm for Prioritizing Disease Candidate Genes from the Weighted PPI Network
2019· 5 cited
Hyperlink induced topic search-based method to predict essential proteins
International Journal of Data Mining and Bioinformatics·2019· 2 cited
Hyperlink induced topic search-based method to predict essential proteins
International Journal of Data Mining and Bioinformatics·2019· 1 cited
Bidirectional long short-term memory with CRF for detecting biomedical event trigger in FastText semantic space
BMC Bioinformatics·2018· 35 citedOpen Access
XGBFEMF: An XGBoost-Based Framework for Essential Protein Prediction
IEEE Transactions on NanoBioscience·2018· 148 cited
Prediction of essential proteins based on subcellular localization and gene expression correlation
BMC Bioinformatics·2017· 25 citedOpen Access
Predicting Essential Proteins Using a New Method
Lecture notes in computer science·2017· 3 cited
page 1 of 2Next →

Frequent Co-authors

Jianxin Wang(6), Yi Pan(6), Xiaohua Hu(4), Qiu Xiao(4), Xuejun Yang(3), Yetian Fan(3), Qing Ping(3), Mengyun Yang(3), Yiming He(3), Bihai Zhao(3), Wei Peng(3), Minzhu Xie(3), Jiancheng Zhong(2), Wei Peng(2), Yongfan Li(2), Wei Hu(2), Jiawei Luo(2), Wanjun Ma(2), Min Li(2), Wenjun Li(2)