瞿佳
博士、讲师
常州大学 计算机与人工智能学院 阿里云大数据学院 软件学院
江苏常州 213164
联系电话：17851148130
E-MAIL: qj199232@cczu.edu.cn
教育背景
2017.09 - 2020.07 中国矿业大学控制理论与控制工程 (博士)
2014.09 - 2017.07 安徽师范大学 生物数学 (硕士)
2010.09 - 2014.06 淮北师范大学 数学与应用数学 (学士)
工作背景
2020.09--至今 常州大学 计算机与人工智能学院 阿里云大数据学院 软件学院
学术任职
[1] 担任Scientific Reports、Current Genomics、BMC Systems Biology、IEEE Transactions on NanoBioscience、Oncology Letter、IEEE Journal of Biomedical and Health Informatics杂志审稿人，Frontiers in Molecular Biosciences 客座编辑。
研究方向和研究内容等
主要研究工作集中在开发和利用复杂网络、机器学习、图论、组合数学等方法对于复杂疾病、非编码RNA方面的多个重要问题进行探索和研究，并取得一系列重要进展。研究方向包括microRNA与疾病关系预测、 药物小分子与microRNA关系预测、微生物与疾病关系预测。这些研究方向是近年来数学、计算机科学和生命科学等诸多领域交叉研究的前沿和热点，具有很重要的理论意义和实际指导意义。
科研成果
[1] Jia Qu, Xing Chen*, Jun Yin, Yan Zhao, Zheng-Wei Li. Prediction of potential miRNA-Disease associations using matrix decomposition and label propagation. Knowledge-Based Systems. 2019, 186: 104963. (SCI, 影响因子: 8.038，中科院一区区)
[2] Jia Qu, Xing Chen*, Ya-Zhou Sun, Yan Zhao, Shu-Bin Cai, Zhong Ming*, Zhu-Hong You*, Jian-Qiang Li. In Silico Prediction of Small Molecule-miRNA Associations Based on the HeteSim Algorithm. Molecular Therapy-Nucleic Acids. 2019, 14: 274-286. (SCI，影响因子:8.886，中科院二区)
[3] Jia Qu, Xing Chen*, Ya-Zhou Sun, Jian-Qiang Li, Zhong Ming. Inferring potential small molecule-miRNA association based on triple layer heterogeneous network. Journal of Cheminformatics. 2018, 10: 30. (SCI, 影响因子5.514，中科院二区)
[4]Jia Qu, Yan Zhao*, Jun Yin. Identification and Analysis of Human Microbe-Disease Associations by Matrix Decomposition and Label Propagation. Frontiers in Microbiology. 2019, 10: 291. (SCI, 影响因子: 5.640，中科院二区)
[5] Jia Qu*, Chun-Chun Wang, Shu-Bin Cai, Wen-Di Zhao, Xiao-Long Cheng and Zhong Ming*. Biased Random Walk with Restart on Multilayer Heterogeneous Networks for MiRNA-Disease Association Prediction. Frontiers in Genetics. 2021,12: 720327. (SCI, 影响因子: 4.599，中科院三区)
[6] Jia Qu, Yan Zhao, Li Zhang, Chunchun Wang*.Computational Models for Self-Interacting Proteins Prediction. Protein & Peptide Letters. 2020, 27(5): 392-399.（SCI, 影响因子1.890, 中科院四区，JCR 2区)
[7] Bin-Sheng He, Jia Qu*, Min Chen*. Prediction of potential disease-associated microRNAs by composite network based inference. Scientific Reports. 2018, 8(1): 15813. (SCI, 影响因子: 4.379, 中科院三区，JCR 1区)
[8] Bin-Sheng He, Jia Qu*, Qi Zhao*. Identifying and Exploiting Potential miRNA-Disease Associations With Neighborhood Regularized Logistic Matrix Factorization. Frontiers in Genetics. 2018, 9: 303. (SCI, 影响因子: 4.599, 中科院三区)
[9] Xing Chen*, Jia Qu, Jun Yin. TLHNMDA: Triple Layer Heterogeneous Network Based Inference for MiRNA-Disease Association prediction. Frontiers in Genetics. 2018, 9: 234. (SCI, 影响因子: 4.599, 中科院三区)
[10] Xing Chen*, Lei Wang, Jia Qu, Na-Na Guan, Jian-Qiang Li. Predicting miRNA-disease association based on inductive matrix completion. Bioinformatics. 2018, 34(24): 4256-4265.(SCI, 影响因子: 6.937, 中科院二区)
[11] Xing Chen*, Jun Yin, Jia Qu, Li Huang. MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction. PLoS Computational Biology. 2018, 14(8): e1006418. (SCI, 影响因子: 4.475, 中科院二区)
[12] Tong-Guang Ni, Jia-Qun Zhu, Jia Qu, Jing Xue, Labeling Privacy Protection SVM Using Privileged Information for COVID-19 Diagnosis. ACM Transactions on Internet Technology, 2021, 22 (3),1-21.
[13] Xiao-Qing Gu, Zong-Xuan Shen, Jia Qu, Tong-Guang Ni, Cross domain EEG signal classification via geometric preserving transfer discriminative dictionary learning, Multimedia Tools and Applications
[14] Chun-Chun Wang, Xing Chen*, Jia Qu, Ya-Zhou Sun, Jian-Qiang Li. RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule–MiRNA Associations. Journal of Chemical Information and Modeling. 2019, 59(4): 1668-1679. (SCI, 影响因子: 4.956，中科院二区)
[15] Chun-Chun Wang, Xing Chen*, Jun Yin, Jia Qu. An integrated framework for the identification of potential miRNA-disease association based on novel negative samples extraction strategy. RNA Biology. 2019, 16(3): 257-269. (SCI, 影响因子: 4.652，中科院二区)
[16] Yan Zhao, Xing Chen*, Jun Yin, Jia Qu. SNMFSMMA: using symmetric nonnegative matrix factorization and Kronecker regularized least squares to predict potential small molecule-microRNA association. RNA Biology. 2019, 59(4): 1668-1679.（SCI，影响因子4.652，中科院二区）
[17] Dongqing Guo, Colin E. Murdoch, Tianhua Liu, Jia Qu, Shihong Jiao, Yong Wang*, Wei Wang*, Xing Chen*. Therapeutic Angiogenesis of Chinese Herbal Medicines in Ischemic Heart Disease: A Review. Frontiers in Pharmacology. 2018, 9: 428. (SCI, 影响因子: 5.5518, 中科院二区)
[18] Xing Chen*, Ya-Zhou Sun, Na-Na Guan, Jia Qu, Zhi-An Huang, Ze-Xuan Zhu, Jian-Qiang Li. Computational models for lncRNA function prediction and functional similarity calculation. Briefings in Functional Genomics. 2019, 18(1): 58-82. (SCI, 影响因子: 4.241, 中科院三区)
[19] Xing Chen*, Na-Na Guan, Ya-Zhou Sun, Jian-Qiang Li*, Jia Qu. MicroRNA-small molecule association identification: from experimental results to computational models. Briefings in Bioinformatics. 2020, 21(1), 47-61. (SCI, 影响因子: 11.662, 中科院一区)
项目经历
1. 国家自然科学基金重点项目，11931008，基于图与组合优化的生物数据和网络数据挖掘算法研究，2020.01-2024.12，270万，在研，参加
2. 国家自然科学基金面上项目，61972399，基于多源数据融合的药物响应和药物相关非编码RNA靶点预测研究，2020.01-2023.12，60万，在研，参加
3. 国家自然科学基金面上项目，61772531，多视角识别长非编码RNA和人类复杂疾病关联预测研究，16万，结题，参加
4. 江苏省高等学校自然科学研究面上项目，21KJB520030，基于矩阵分解整合标签传播算法的微生物-药物关联预测，2021.10-2023.09，主持。
获奖
[1]. 陈兴，瞿佳，赵岩，王纯纯，基于人工智能方法的 microRNA 关联预测研究，江苏 省高等学校科学技术研究成果奖，江苏省教育厅，二等奖，2021
[2]. 陈兴，王磊，瞿佳，基于归纳矩阵填充预测疾病与 miRNA 关联，徐州市自然科学优 秀学术论文二等奖，徐州市人民政府，2020
[3]. 荣获2018-2019学年中国矿业大学“优秀创新博士研究生奖学金”；
[4]. 荣获2018-2019学年中国矿业大学国家奖学金；
[5]. 荣获2018-2019学年中国矿业大学校优秀学生。
