论文著作：
1.Xinyue Yan;Meng Wang;Lurao Ji; Xiaoqin Li; Bin Gao. Machine learning and molecular subtyping reveal the impact of diverse patterns of cell death on the prognosis and treatment of hepatocellular carcinoma. Computational Biology and Chemistry. 115 (2025) 108360.
2.Meng W, Xinyue Y, Yanan D, Xiaoqin Li Bin Gao. Machine learning and multi-omics data reveal driver gene-based molecular subtypes in hepatocellular carcinoma for precision treatment [J]. PLOS Computational Biology. 2024,20(5):e1012113.
3.Meng W, Xinyue Y, Yanan D, Xiaoqin Li Bin Gao. From driver genes to gene families: a computational analysis of oncogenic mutations and ubiquitination anomalies in hepatocellular carcinoma [J]. Computational Biology and Chemistry. 2024.9.16 2024;112:108119.
4.王猛,李晓琴,高斌.综合多组学数据的肝细胞癌分层策略及进展[J].生物化学与生物物理进展,2023,50(07):1651-1663.
5.Dong, Y.; Li, X.; Yang, Y.; Wang, M.; Gao, B. A Synthesizing Semantic Characteristics Lung Nodules Classification Method Based on 3D Convolutional Neural Network. [J] Bioengineering 2023, 10(11).
6.Yang Yang, Xiaoqin Li, Jipeng Fu, Zhenbo Han, Bin Gao. 3D multi-view squeeze-and-excitation convolutional neural network for lung nodule classification. MEDICAL PHYSICS. 2023.50(3):1905-1916.
7.Xuedong Wang, Wenhui Shang, Xiaoqin Li, Yu Chang. Methylation Signature Genes Identification of Cancers Occurrence and Pattern Recognition. Computational Biology and Chemistry. 2020.85(4).
8.Xuedong Wang, XiaoXi Wang, Xiaoqin Li, Yu Chang. Identification of Specific Candidate Diagnostic Biomarkers for Lung Squamous Cell Carcinoma Based on Methylation. Journal of Computational Biology. 2020,26(5):825-833.
发明专利：
1.李晓琴,常宇,李彦生. 国家发明专利. 基于皮肤软组织形变的修复体再修复方法. 专利号:ZL 2018 1 0441493.0.
2.李晓琴,景娅楠. 国家发明专利. 基于氨基酸序列的蛋白质折叠类型识别方法. 专利号:ZL 2017 1 0259671.3.
李晓琴
北京市
研究领域：
生物医药
研究方向：
1.重大疾病多组学信息的数据挖掘研究
2.临床医学信息的获取、分析及应用研究
所在单位：
北京工业大学
