Ren Qi 齐忍

Ph.D, Postdocter
Yangtze Delta Region Institute(Quzhou)
University of Electronic Science and Technology of China

Address: Yangtze Delta Region Institute, Quzhou, Zhejiang, 324000
Email: qiren@tju.edu.cn

Research Interests

ScRNA-seq; Biological sequence processing and analysis; Machine learning

Education

Academic Positions

Funding

Publications

  1. Ren Qi, Quan Zou.Trends and Potential of Machine Learning and Deep Learning Techniques in Drug Study at Single-cell Level. Research, 2023, doi: 10.34133/research.0050. (SCI-1, IF 2022=11.036)
  2. Ren Qi, Anjun Ma, Qin Ma, Quan Zou.Clustering and classification methods for single-cell RNA-sequencing data. Briefings in Bioinformatics, 2020, 21(4): 1196-1208. (SCI-1, IF 2020=11.622)
  3. Ren Qi#, Jin Wu#, Fei Guo, Lei Xu, Quan Zou. A spectral clustering with self-weighted multiple kernel learning method for single-cell RNA-seq data. Briefings in Bioinformatics, 2021, 22(4), bbaa216. (SCI-1, IF 2021=11.622)
  4. Ren Qi, Fei Guo, Quan Zou. String kernels construction and fusion: a survey with bioinformatics application.Frontiers of Computer Science, 2022, 16(6):166904. (SCI-2, IF 2022=2.061)
  5. 齐忍, 朱鹏飞, 梁建青.混杂数据的多核几何平均度量学习.软件学报,2017, 28(11):2992-3001. (中文核心期刊)
  6. Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang. Beyond similar and dissimilar relations: a kernel regression formulation for metric learning.Twenty-Seventh International Joint Conference on Artificial Intelligence(IJCAI), 2018, doi:10.24963/ijcai.2018/450. (CCF-A)
  7. Ren Qi, Arun Kumar Sangaiah, Dariusz Mrozek, Quan Zou. Machine Learning Techniques on Gene Function Prediction Volume II.Frontiers in Genetics, 2022, 13:949285. doi: 10.3389/fgene.2022.949285. (SCI-3, IF 2022=4.772)
  8. Juexin Wang, Anjun Ma, Yuzhou Chang, Jianting Gong, Yuexu Jiang, Ren Qi, et al. scGNN: a novel graph neural network framework for single-cell RNA-Seq analyses.Nature Communications, 2021,12(1):1-11. (SCI-1, IF 2021=12.121)
  9. Bin Yu, Chen Chen, Ren Qi, Ruiqing Zheng, Patrick J. Lawrence,et al. scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder. Briefings in Bioinformatics, 2021,22(4):bbaa316. (SCI-1, IF 2021=11.622)
  10. Jing Jiang#, Cankun Wang#, Ren Qi, Hongjun Fu, Qin Ma. scREAD: a single-cell RNA-Seq database for Alzheimer's Disease. iScience, 2020,23(11):101769. (SCI-2, IF 2020=5.458)
  11. Xiaolin Wang, Hongli Gao, Ren Qi, Ruiqing Zheng, Xin Gao, and Bin Yu. scBKAP: a clustering model for single-cell RNA-Seq data based on bisecting K-means.IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022: 1-10. doi:10.1109/TCBB.2022.3230098. (TCBB, SCI-3, IF 2022=3.702)

Awards

  • 国家奖学金,2021.
  • 国家高水平公派联合培养博士生基金, 国家留学基金委, 2019.
  • 天津市优秀硕士论文, 天津市人民政府,2020.
  • CCML 2017 最佳学生论文奖, 中国人工智能学会, 2017.
  • 国家励志奖学金, 2013 & 2014.