Mengting
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Mengting Niu

I am a associate research fellow at Quan Zou's Lab,the University of Electronic Science and Technology of China,Chengdu, where I work on deep learning, bioinformatic, and computer vision, etc.

Email  /  Google Scholar

Research

  • Using machine learning methods to solve bioinformatics problems
    • biological sequence classification
      • software
      • Deep learning
      • classification of unbalanced data
    • CircRNA /ncRNA mining, disease association prediction,etc
      • circRNA identification
      • circRNA-disease association prediction
      • circRNA&RBP interaction sites predication

      Papers:

      1. Interpretable prediction and generation of ASC-speck aptamers using multiscale deep biological learning models .
        2. Mengting Niu,Quan Zou, Lei Xu
        IEEE/ACM Transactions on Computational Biology and Bioinformatics(under review)

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

      3. circRNA idenPredicting circRNA¨Cdisease associations with shared units and multi-channel attention mechanisms.
        4. Xue Zhang,Quan Zou,Mengting Niu*, Chunyu Wang*
        Bioinformatics 2025 (code&data)) (cite)

      4. Interpretable Multi-Instance Heterogeneous Graph Network Learning Modeling circRNA-Drug Sensitivity Association Prediction.
        5. Mengting Niu,Quan Zou, Lei Xu,Ximei Luo
        BMC Biology 2025 (cite)

      5. Computational approaches for circRNA-disease association prediction: A review.
        6. Mengting Niu,Yaojia Chen,Chunyu Wang, Quan Zou, Lei Xu
        Front. Comput. Sci 2025.

      6. circRNA identification and feature interpretability analysis.
        7. Mengting Niu, Chunyu Wang, Yaojia Chen, Quan Zou, Ren Qi, Lei Xu
        BMC Biology 2024 (code&data)) (cite)

      7. A computational model of circRNA-associated diseases based on a graph neural network: prediction, and case studies for follow-up experimental validation.
        8. Mengting Niu,Chunyu Wang, Zhanguo Zhang,Quan Zou
        BMC Biology 2024 (code&data)) (cite)

      8. Identification, characterization and expression analysis of circRNA encoded by SARS-CoV-1 and SARS-CoV-2.
        9. Mengting Niu, Chunyu Wang, Yaojia Chen, Quan Zou, Lei Xu
        Briefings in Bioinformatics 2024

      9. CRBPDL: Identification of circRNA-RBP interaction sites using an ensemble neural network approach.
        10. Mengting Niu, Quan Zou, Chen Lin
        PLOS Computational Biology 2022 (code&data)) (cite)

      10. GMNN2CD: Identification of circRNA-disease associations based on variational inference and graph Markov neural networks.
        11. Mengting Niu, Quan Zou, Chunyu Wang
        Bioinformatics 2022 (code&data) (cite)

      11. Characterizing viral circRNAs and their application in identifying circRNAs in viruses
        12. Mengting Niu, Ying Ju, Chen Lin, Quan Zou
        Briefings in Bioinformatics 2021 (cite)

      12. rBPDL: Predicting RNA-binding proteins using deep learning
        13. Mengting Niu, Jin Wu, Quan Zou, Zhendong Liu, Lei Xu
        IEEE Journal of Biomedical and Health Informatics(data and codes) (cite)

      13. sgRNACNN: identifying sgRNA on-target activity in four crops using ensembles of convolutional neural networks.
        14. Mengting Niu,Yuan Lin, Quan Zou
        Plant molecular biology 2021 (data and code ) (cite)

      14. SgRNA-RF: identification of SgRNA on-target activity with imbalanced datasets
        15. Mengting Niu, Quan Zou
        IEEE/ACM Transactions on Computational Biology and Bioinformatics 2021 (web)and dataset) (cite)

      15. CirRNAPL: a web server for the identification of circRNA based on extreme learning machine
        16. 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)

      16. GATSDCD: Prediction of circRNA-Disease Associations Based on Singular Value Decomposition and Graph Attention Network
        17. Mengting Niu,Hesham A E L, Zou Quan
        International Conference on Intelligent Computing 2022 (cite)

      17. ELM-MHC: an improved MHC identification method with extreme learning machine algorithm
        18. Y Li,Mengting Niu, , Q Zou
        Journal of proteome research 2019 (web)and dataset) (cite)

      18. 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)

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

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

      21. An Intelligent Recommendation Mobile Application Privacy Risk Evaluation Method Based on Optimized SVM
        22. 2020 IEEE 4th Information Technology, Networking, Electronic and Automation

      22. An inductive logic programming algorithm based on artificial bee colony.
        23. Journal of Information Technology Research (JITR)

      Recent Projects

      The main project involved is the related research of circular RNA. Currently, I am leading the GMNN and MSRN project, which aims to develop a series of deep learning models to solve computational problems of circRNA.

    • GMNN Neural Networks

    • MSRN

    • Participate in the project

      • Host.The Natural Science Foundation of China (No.62473268)

      Host.The Natural Science Foundation of China (No.62303328)

      Host.The National funded postdoctoral researcher program of China (GZC20230382)

      Participate: The Natural Science Foundation of China (No.62131004,62172076)

      Awards

    • 2024, Outstanding postdoctoral fellow

    • 2019, National Scholarship for Graduate Students

    • 2017, National Scholarship for Graduate Students

      • Welcome/Last revision date:2025.3.27