主要项目: 1. 主持,国家自然科学基金青年基金(11701379),2018.01-2020.12,结题; 2. 主持,上海高校青年教师培养资助计划项目, 2014.1-2015.12, 结题; 主要代表论文:
1. Xiaoqing Yu, Jingsong Zhang, Rui Yang and Chun Li, Identification of Long Noncoding RNA Biomarkers for Hepatocellular Carcinoma Using Single-Sample Networks[J]. BioMed Research International, 2020(12):1-12, 2020. 2. 于晓庆,肺腺癌相关长链非编码RNA生物标志物识别,应用技术学报,20(4):375-380,2020. 3. Jingsong Zhang, Jianming Guo, Ming Zhang, Xiangtian Yu, Xiaoqing Yu, et al. Efficient Mining Multi-mers in a Variety of Biological Sequences[J]. IEEE/ACM Transactions on Computational Biology & Bioinformatics, PP(99):1-1, 2018. 4. C. Li, W.C. Fen, Y. Zhao, Xiaoqing Yu. Novel graphical representation and numerical characterization of DNA sequences. Applied Sciences, 6(3), 63, 2016. 5. Xiaoqing Yu, X.Q. Zheng, C. Li, J. Wang, A computational method of predicting regulatory interactions in Arabidopsis based on gene expression data and sequence information, Computational Biology and Chemistry, 51: 36-41, 2015. 6. C. Li, Y. Yang, M.D. Jia, Y.Y. Zhang, Xiaoqing Yu,C.Z. Wang, Phylogenetic analysis of DNA of sequences based on k-word and rough set theory, Physica A, 398: 162-171, 2014. 7. Xiaoqing Yu, X.Q. Zheng, T.G. Liu, Y.C. Dou, J. Wang, Prediction of apoptosis protein subcellular location based on amino acid substitution matrix and auto covariance transformation, Amino Acids, 42:1619-1625, 2012. 8. Xiaoqing Yu, X.Q. Zheng, L.Y. Meng, C. Li,J. Wang, A support vector machines based method to predict success for polymerase chain reactions. Combinatorial Chemistry & High Throughput Screening, 15: 486-491, 2012.
9. Xiaoqing Yu, T.G. Liu, X.Q. Zheng, Z.N. Yang, J. Wang, Prediction of regulatory interactions in Arabidopsis using gene expression data and support vector machines, Plant Physiology and Biochemistry, 49: 280-283, 2011. |