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Ph.D, Assistant Professor, Special Associate Research Fellow
School of Computer Science
Beijing Institute of Technology Address: Beijing Institute of Technology, Beijing, 100081
Email: [email protected]
Jun.2024 - present: Assistant Professor, School of Computer Science, Beijing Institute of Technology Mar.2022 - Mar.2024: Postdocter, University of Electronic Science and Technology of China Mar.2022 - Mar.2024: Postdocter, Yangtze Delta Region Institute(Quzhou), University of Electronic Science and Technology of China Dec.2019-Dec.2020: Visitor, Department of Biomedical Informatics, College of Medicine, The Ohio State University, USA 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) 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) 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) Ren Qi , Zehua Zhang, Jin Wu, Lijun Dou, Lei Xu, Yue Cheng. A new method for handling heterogeneous data in bioinformatics. Computers in Biology and Medicine, 2024, 170: 107937. (SCI-1, TOP, IF 2023=7.7) Ren Qi , Quan Zou. Special Protein or RNA Molecules Computational Identification . International Journal of Molecular Sciences, 2023, 24(14):11312. (SCI-2,IF=6.2) Ren Qi , Arun Kumar Sangaiah, Dariusz Mrozek, Quan Zou. Machine Learning Techniques on Gene Function Prediction Volume II. Frontiers in Genetics, 2022, 13:949285. (SCI-3, IF 2022=4.772) Ren Qi , Quan Zou. Editorial: Machine learning methods in single-cell immune and drug response prediction. Frontiers in Genetics , 2023, 14:1233078. (SCI-3, IF 2023=4.772) 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)
  • Zhecheng Zhou, Linlin Zhuo*, Xiangzheng Fu*, Juan Lv, Quan Zou, Ren Qi* . Joint masking and self-supervised strategies for inferring small molecule-miRNA associations . Molecular Therapy: Nucleic Acid , 2024,35(1): 102103. (SCI-2, TOP, IF 2023=10.183)
  • Mengting Niu, Chunyu Wang, Yaojia Chen, Quan Zou, Ren Qi* , Lei Xu*. CircRNA Identification and Feature Interpretability Analysis . BMC Biology , 2024, 22:44. (SCI-1, TOP, IF=7.1) Mingshuai Chen, Quan Zou, Ren Qi* , Yijie Ding*. PseU-KeMRF: A novel method for identifying RNA pseudouridine sites. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024. (TCBB, CCF-B, IF 2022=3.702) 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) 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) 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) 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) 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. (TCBB, CCF-B, IF 2022=3.702)
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