Academic Experience
(2018/09 - 2020/06)
Undergraduate, School of Electronic and Information Engineering of USTS.
(2020/09 - 2023/06)
Postgradute, School of Electronic and Information Engineering of USTS.
(2021/09 - 2022/12)
As a visiting student studying in Prof.Fei Guo's lab in the CSU.
(2023/09 - Today)
PhD candidate, Institute of Fundamental and Frontier Sciences of UESTC.
Research Interests
Bioinformatics and data mining (drug side effects, protein function)
Machine learning (kernel method,multi-view fusion,matrix factorization)
Publications
Qian, Y., Ding, Y., Zou, Q., & Guo, F. (2022). Identification of drug-side effect association via restricted Boltzmann machines with penalized term. Briefings in Bioinformatics, 23(6), bbac458.
Qian, Y., Ding, Y., Zou, Q., & Guo, F. (2022). Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types. IEEE/ACM Transactions on Computational Biology and Bioinformatics.
Guan, S., Qian, Y., Jiang, T., Jiang, M., Ding, Y., & Wu, H. (2022). MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(2), 1246-1256.
Qian, Y., Jiang, L., Ding, Y., Tang, J., & Guo, F. (2021). A sequence-based multiple kernel model for identifying DNA-binding proteins. BMC bioinformatics, 22(3), 1-18.