基本信息
姓名:林翠香
职称:副教授
电子信箱:lincx@xtu.edu.cn
办公室:数学楼A414
个人简介
林翠香,女,1986年,博士,副教授
学习工作经历
教育经历:
2018.9-2022.11,中南大学,博士研究生,计算机科学与技术
2008.9-2010.7,中南大学,硕士研究生,数学与统计学院
2004.9-2008.7,中南大学,本科,数学与统计学院
工作经历:
2023.2-至今,湘潭大学,数学与计算科学学院
主讲课程
线性代数,回归分析,回归分析课程设计,探索性数据分析,多元统计分析
研究方向
生物信息学
科研项目
主持的科研项目:
[1] 国家自然科学基金青年项目,基于疾病特异性基因功能网络构建的致病基因预测2024-2026(主持)。
[2] 湘潭大学科研启动经费,基于可变剪接异常调控的疾病基因预测方法
2023-2028(主持)主持的教改项目:
[1] 湘潭大学校级教改项目——基于复合型人才培养的《回归分析》教改研究,2023-2026(主持)
论文专著
1. Cui-Xiang Lin, Hong-Dong Li, Jianxin Wang, LIMO-GCN:a linear model-integrated graph convolutional network for predicting Alzheimer disease genes, Briefings in Bioinformatics, Volume26, Issue1, January 2025, bbae611.
2. Lin CX, Guan Y, Li HD. Artificial intelligence approaches for molecular representation in drug response prediction. Curr Opin Struct Biol, 2024 Feb, 84:102747.
3. Jiashu Liu, Cui-Xiang Lin, Xiaoqi Zhang, Zongxuan Li, Wenkui Huang, Jin Liu, Yuanfang Guan, Hong-Dong Li, Computational approaches for detecting disease-associate dalternative splicing events, Briefings in Bioinformatics, Volume24, Issue3, May 2023, bbad106.
4. Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Yuanfang Guan, Jianxin Wang*. TissueNexus:a Database of Human Tissue Functional Gene Networks Built with a Large Compendium of Curated RNA-seq Data. Nucleic Acids Research. 2021, 50, D710–D718.
5. Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Weisheng Liu, Shannon Erhardt, Fang-Xiang Wu, Xing-Ming Zhao, Jun Wang, Daifeng Wang, Bin Hu, Jianxin Wang*. Anintegrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer sdisease. Briefings in Bioinformatics. 2021, 23, bbab522.
6. Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Weisheng Liu, Shannon Erhardt, Jun Wang, Xiaoqing Peng*, Jianxin Wang*. AlzCode:a Platform for Multiview Analysis of Genes Related to Alzheimer’s. Bioinformatics. 2022, doi:10.1093/bioinformatics/btac033.
7. Zhao-Yu Fang, Cui-Xiang Lin, Yun-Pei Xu, Hong-Dong Li* and Qing-Song Xu*. REBET: a method to determine the number of cell clusters based on batch effec tremoval. Briefings in Bioinformatics. 2021, 22, bbab204.
8. Chao Deng#, Cui-Xiang Lin#, Hong-Dong Li*. Improving the Prediction of Disease-associated Genes by Integrating Annotated GeneSets. IEEE International Conference on Bioinformatics and Biomedicine(BIBM), 2021, B717(CCFB类会议)
9. Jian-Tao Zheng, Cui-Xiang Lin*, Zhao-Yu Fang, Hong-Dong Li*. Intron retention as a mode for RNA-seq data analysis. Frontiers in Genetics. 2020, 11, 586.
10. Jiantao Zheng#, Cuixiang Lin#, Zhenpeng Wu, and Hongdong Li*. A comparison of computational approaches for intron retention. BIG DATA MINING AND ANALYTICS. 2022, 5(1), 15-31.
11. Yunsheng Wang, Yingyi Liu, Cui-Xiang Lin, Weisheng Liu, Fa Zhang, Hong-Dong Li*, Predicting Parkinson Disease Genes based on Brain-specific Functional Gene Networks, International Symposium on Bioinformatics Research and Applications, 2020.
12. Yuan Zhao, Zhao-Yu Fang, Cui-Xiang Lin, Chao Deng, Yun-Pei Xu and Hong-Dong Li*. RFCell:A Gene Selection Approach for scRNA-seq Clustering Based on Permutation and Random Forest. Frontiers in Genetics. 2021, 12, 665843