Mengting Niu

• biological sequence classification
• software
• Deep learning
• classification of unbalanced data

• Intelligent decision-making for cancer
• Rely on graph construction
• Discovery of driver genes
• Medical image

• CircRNA /ncRNA mining, disease association prediction,etc
• circRNA identification
• circRNA-disease association prediction
• Subcellular localizationn

Papers:

1. CFGSCDSA: Predicting circRNA-drug sensitivity associations based on collaborative feature learning and graph structure learning.
Xue Zhang, Quan Zou, Chunyu Wang, Mengting Niu, Yansu Wang
PLOS Computational Biology,2026

2. MuFGPS: enhancing liquid¨Cliquid phase separation protein prediction through multi-level features and ensemble learning.
Lei Xian, Quan Zou, Ren Qi, Mengting Niu, Yansu Wang
Briefings in Bioinformatics,2026

3. Intracellular bacteria modulate the immune microenvironment of oral squamous cell carcinoma.
Yansu Wang, Q Lin, Z Xiang, R Qi, Mengting Niu, X Luo, L Liu, Q Zou, L Xu
Cell Reports,2026

4. UniSyn: a multi-modal framework with knowledge transfer for anti-cancer drug synergy prediction.
Y Chen, Y Zhang,Mengting Niu, J Wang, Z Ren, Q Zou, J Song, X Luo
Genome Biology,2026

5. Bioinformatics insights into plant genomic imprinting:approaches, challenges, and future perspectives.
Xiaotong Jing, Xi Su, Quan Zou Mengting Niu
Briefings in Functional Genomics,2026

6. YModPred: an interpretable prediction method for multi-type RNA modification sites in S. cerevisiae based on deep learning.
C Ao, M Niu, Q Zou, L Yu, Y Wang
BMC biology 2025

7. YModPred: an interpretable prediction method for multi-type RNA modification sites in S. cerevisiae based on deep learning.
C Ao, M Niu, Q Zou, L Yu, Y Wang
BMC biology 2025

8. circRNA idenPredicting circRNA¨Cdisease associations with shared units and multi-channel attention mechanisms.
Xue Zhang,Quan Zou,Mengting Niu*, Chunyu Wang*
Bioinformatics 2025 (code&data)) (cite)
9. Interpretable Multi-Instance Heterogeneous Graph Network Learning Modeling circRNA-Drug Sensitivity Association Prediction.
Mengting Niu,Quan Zou, Lei Xu,Ximei Luo
BMC Biology 2025 (cite)

10. Computational approaches for circRNA-disease association prediction: A review.
Mengting Niu,Yaojia Chen,Chunyu Wang, Quan Zou, Lei Xu
Front. Comput. Sci 2025.
11. circRNA identification and feature interpretability analysis.
Mengting Niu, Chunyu Wang, Yaojia Chen, Quan Zou, Ren Qi, Lei Xu
BMC Biology 2024 (code&data)) (cite)
12. A computational model of circRNA-associated diseases based on a graph neural network: prediction, and case studies for follow-up experimental validation.
Mengting Niu,Chunyu Wang, Zhanguo Zhang,Quan Zou
BMC Biology 2024 (code&data)) (cite)
13. Identification, characterization and expression analysis of circRNA encoded by SARS-CoV-1 and SARS-CoV-2.
Mengting Niu, Chunyu Wang, Yaojia Chen, Quan Zou, Lei Xu
Briefings in Bioinformatics 2024
14. CRBPDL: Identification of circRNA-RBP interaction sites using an ensemble neural network approach.
Mengting Niu, Quan Zou, Chen Lin
PLOS Computational Biology 2022 (code&data)) (cite)
15. GMNN2CD: Identification of circRNA-disease associations based on variational inference and graph Markov neural networks.
Mengting Niu, Quan Zou, Chunyu Wang
Bioinformatics 2022 (code&data) (cite)
16. Characterizing viral circRNAs and their application in identifying circRNAs in viruses
Mengting Niu, Ying Ju, Chen Lin, Quan Zou
Briefings in Bioinformatics 2021 (cite)
17. rBPDL: Predicting RNA-binding proteins using deep learning
Mengting Niu, Jin Wu, Quan Zou, Zhendong Liu, Lei Xu
IEEE Journal of Biomedical and Health Informatics(data and codes) (cite)
18. sgRNACNN: identifying sgRNA on-target activity in four crops using ensembles of convolutional neural networks.
Mengting Niu,Yuan Lin, Quan Zou
Plant molecular biology 2021 (data and code ) (cite)
19. SgRNA-RF: identification of SgRNA on-target activity with imbalanced datasets
Mengting Niu, Quan Zou
IEEE/ACM Transactions on Computational Biology and Bioinformatics 2021 (web)and dataset) (cite)
20. CirRNAPL: a web server for the identification of circRNA based on extreme learning machine
Mengting Niu, Jun Zhang, Yanjuan Li, Cankun Wang, Zhaoqian Liu, Hui Ding, Quan Zou, Qin Ma
Computational and structural biotechnology journal 2020 (web) and dataset) (cite)
21. GATSDCD: Prediction of circRNA-Disease Associations Based on Singular Value Decomposition and Graph Attention Network
Mengting Niu,Hesham A E L, Zou Quan
International Conference on Intelligent Computing 2022 (cite)
22. ELM-MHC: an improved MHC identification method with extreme learning machine algorithm
Y Li,Mengting Niu, , Q Zou
Journal of proteome research 2019 (web)and dataset) (cite)
23. RFAmyloid: a web server for predicting amyloid proteins.
    Mengting Niu,Yanjuan Li, Chunyu Wang, Ke Han
    International journal of molecular sciences 2019 (web)and dataset) (cite)

24. Application of remote sensing image clustering based on bee colony K-means algorithm
Computer engineering and applications.2019 (Chinese)

25. Collaborative filtering recommendation algorithm based on bee colony K-means clustering model
computer engineering and science.2019(Cinese)

26. An Intelligent Recommendation Mobile Application Privacy Risk Evaluation Method Based on Optimized SVM
2020 IEEE 4th Information Technology, Networking, Electronic and Automation
27. An inductive logic programming algorithm based on artificial bee colony.
Journal of Information Technology Research (JITR)