XiuQin Liu

associate professor
office location:Physics and chemistry building 209
E-mail:mathlxq@163.com
Research Interests:1. Statistical modeling; 2. Machine learning.
Resume

2015. 08-present: Associate Professor, Department of Mathematics and Physics, University of Science and Technology Beijing (USTB), China; 2002. 08-2015. 07: Lecturer, Department of Mathematics and Physics, University of Science and Technology Beijing (USTB), China; 2000. 04-2002. 07: Teaching Assistant, Department of Mathematics and Physics, University of Science and Technology Beijing (USTB), China; 2005. 9-2010. 06: PhD, Institute of mathematics and Systems Sciences, Chinese Academy of Sciences, China;

Scientific research achievements

Enrollment plan

Two Master students per year

Representative papers

1. Xiu-Qin, Liu, Bing-Xiu, et al. Prediction of Long Non-Coding RNAs Based on Deep Learning.[J]. Genes, 2019. 2. Liu Q , Cheng X , Liu G , et al. Deep learning improves the ability of sgRNA off-target propensity prediction[J]. BMC Bioinformatics, 2020, 21. 3. Xiuqin Liu, Jun Ding, Fuzhou Gong. "piRNA Identification Based on Motif Discovery." Molecular Biosystems 10.12(2014):3075-3080. 4. Xiuqin Liu, Shunmin He, Geir Skogerbø, Fuzhou Gong, and Runsheng Chen, Integrated sequence-structure motifs suffice to identify microRNA precursors.PLoS one,2012 5. Lei M. Li Xiuxiu Liu, Lin Wang, Yong Wang, Xiuqin Liu, Xue Tian, Fuzhou Gong, Li Shen & Xiao-ding Peng Novel Dual Eigen-Analysis of Mouse Multi-Tissues' Expression Profiles Unveils New Perspectives into Type 2 Diabetes. Scientific Reports (2017) 6. Abdoulaye Camara1, Wang Feixing1 & Liu Xiuqin1 Energy Consumption Forecasting Using Seasonal ARIMA with Artificial Neural Networks Models International Journal of Business and Management; Vol. 11, No. 5; 2016 ISSN 1833-3850 E-ISSN 1833-8119 7. Ziwei, C. , Xiangqi, B. , Liang, M. , Xiawei, W. , Xiuqin, L. , & Yuting, L. , et al.. A branch point on differentiation trajectory is the bifurcating event revealed by dynamical network biomarker analysis of single-cell data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, (2018)1-1 8. Liang Ma, Edmund T.Rolls, Xiuqin Liu, Yuting Liu, Zeyu Jiao, Yue Wang,Weikang Gong, Zhiming Ma Fuzhou Gong, Lin Wan*Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients,Journal of Molecular Cell Biology,2018

Postgraduate training

2015. 10-2016. 04 Department of statistics, Harvard University, visiting scholar

  • School of Chemistry and Biological Engineering, USTB
  • 30 Xueyuan Road, Haidian District, Beijing,100083