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  • 邹权，主持国家杰青项目，电子科技大学基础与前沿研究院教授，电子科技大学长三角研究院（衢州）副院长。谷歌学术总引用次
  • 常年招聘博士后，招聘科研助理，署名邮件必回复
  • 我对研究生的要求
  • 未经我允许，请不要给我寄送快递，尤其是各种礼物！如果您是我的学生，给我发封邮件告诉我近况，就是最美好的礼物！我的时间更想多看点书，而不是去取快递！
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    研究方向：

  • 利用并行/高性能计算解决生物信息学问题
  • 利用机器学习方法解决生物信息学问题
  • 生物信息学应用问题
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    主持项目：

    国家自然科学基金杰出青年基金    生物序列计算分析
    国家自然科学基金原创探索项目延续资助    从支持生物序列机到生物序列神经网络
    国家自然科学基金重点项目    面向单细胞RNA测序数据的深度迁移模型与细胞通信网络研究
    国家自然科学基金原创探索项目    支持生物序列机(已结题)
    国家自然科学基金优秀青年基金    生物信息处理与分析 (已结题)
    四川省杰出青年科技人才项目    大规模生物序列分类和聚类方法研究(已结题)
    国家自然科学基金面上项目    利用多序列比对指导16s rRNA的OTU聚类 (已结题)
    国家自然科学基金面上项目    基于MapReduce的非编码RNA“从头预测”识别方法研究 (已结题)
    国家自然科学基金青年基金    基于投票机制的非编码RNA“从头预测”识别方法研究 (已结题)

    学术兼职：

  • Editor-in-Chief of Current Bioinformatics
  • Co-Editor of Current Gene Therapy
  • Specialty Chief Editor of Computational Genomics (specialty section of Frontiers in Genetics)
  • Associate Editor of IEEE Access, Frontiers in Bioinformatics, Molecular Therapy-Nucleic Acids
  • Editorial Board Member of Briefings in Bioinformatics, Briefings in Functional Genomics, Computational Biology and Chemistry, Scientific Report, Interdisciplinary Sciences--Computational Life Sciences, Genes, Proteomics
  • Guest Associate Editor of PLoS Computational Biology
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    自然指数期刊论文：

    1. Senjie Lin*, Shifeng Cheng, Bo Song, Xiao Zhong, Xin Lin, Wujiao Li, Ling Li, Yaqun Zhang, Huan Zhang, Zhiliang Ji, Meichun Cai, Yunyun Zhuang, Xinguo Shi, Lingxiao Lin, Lu Wang, Zhaobao Wang, Xin Liu, Sheng Yu, Peng Zeng, Han Hao, Quan Zou, Chengxuan Chen, Yanjun Li, Ying Wang, Chunyan Xu, Shanshan Meng, Xun Xu, Jun Wang, Huanming Yang, David A. Campbe, Nancy R. Sturm, Steve Dagenais-Bellefeuille, David Morse. The Symbiodinium kawagutii genome illuminates dinoflagellate gene expression and coral symbiosis. Science. 2015, 350(6261): 691-694 谷歌学术引用次
    2. Shizheng Qiu, Yang Hu*, Quan Zou*, Guiyou Liu*. Genetic variant rs9848497 up-regulates MST1R expression, thereby influencing leadership phenotypes. Proceedings of the National Academy of Sciences. 2022, 119(29): e2207847119 谷歌学术引用次
    3. Yu Wang, Chao Pang, Yuzhe Wang, Junru Jin, Jingjie Zhang, Xiangxiang Zeng, Ran Su, Quan Zou*, Leyi Wei*. Retrosynthesis prediction with an interpretable deep-learning framework based on molecular assembly tasks. Nature Communications. 2023, 14: 6155 谷歌学术引用次
    4. Zhonghao Ren, Xiangxiang Zeng, Yizhen Lao, Zhuhong You, Yifan Shang, Quan Zou*, Chen Lin*. Predicting rare drug-drug interaction events with dual-granular structure-adaptive and pair variational representation. Nature Communications. 2025, 16: 3997. 谷歌学术引用次
    5. Leyi Wei, Jianbo Qiao, Junru Jin, Ding Wang, Saisai Teng, Junyu Zhang, Xuetong Yang, Yuhang Liu, Yu Wang, Lizhen Cui, Quan Zou, Ran Su*. A self-conformation-aware pre-training framework for molecular property prediction with substructure interpretability. Nature Communications. Accepted
    6. Jiacheng Wang, Yaojia Chen, Quan Zou*. Inferring gene regulatory network from single-cell transcriptomes with graph autoencoder model. PLoS Genetics. 2023, 19(9): e1010942 (codes)谷歌学术引用次
    7. Pinglu Zhang, Yanming Wei, Qinzhong Tian, Quan Zou, Yansu Wang*. Fast sequence alignment for centromere with RaMA. Genome Research. 2025, 35: 1209-1218 谷歌学术引用次

    其他代表论文：

    1. Yizheng Wang, Yixiao Zhai, Yijie Ding*, Quan Zou*. SBSM-Pro: support bio-sequence machine for proteins. Science China Information Sciences. 2024, 67(11): 144-159. (web) 谷歌学术引用次
    2. Furong Tang, Jiannan Chao, Yanming Wei, Fenglong Yang, Yixiao Zhai, Lei Xu, Quan Zou*. HAlign 3: fast multiple alignment of ultra-large numbers of similar DNA/RNA sequences. Molecular Biology and Evolution. 2022,39(8):msac166. (codes)谷歌学术引用次
    3. Chao Wang*, Quan Zou*. MFPSP: identification of fungal species-specific phosphorylation site using offspring competition-based genetic algorithm. PLoS Computational Biology. 2024, 20(11): e1012607. (codes)谷歌学术引用次
    4. Tao Wang, Linlin Zhuo*, Yifan Chen, Xiangzheng Fu*, Xiangxiang Zeng, Quan Zou*. ECD-CDGI: an efficient energy-constrained diffusion model for cancer driver gene identification. PLoS Computational Biology. 2024, 20: e1012400谷歌学术引用次
    5. Yixiao Zhai, Jiannan Chao, Yizheng Wang, Pinglu Zhang, Furong Tang*, Quan Zou*. TPMA: a two pointers meta-alignment tool to ensemble different multiple nucleic acid sequence alignments. PLoS Computational Biology. 2024, 20(4): e1011988 (codes)谷歌学术引用次
    6. Yaojia Chen, Jiacheng Wang, Chunyu Wang, Quan Zou*. AutoEdge-CCP: A Novel Approach for Predicting Cancer-Associated CircRNAs and Drugs based on Automated Edge Embedding. PLoS Computational Biology. 2024, 20(1): e1011851 (codes)谷歌学术引用次
    7. Ran Su, Haitang Yang, Leyi Wei*, Siqi Chen*, Quan Zou*. A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data. PLoS Computational Biology. 2022, 18(9): e1010402 (codes)谷歌学术引用次
    8. Xiangxiang Zeng, Wei Lin, Maozu Guo, Quan Zou*. A comprehensive overview and evaluation of circular RNA detection tools. PLoS Computational Biology. 2017,13(6): e1005420 (data and codes)(BibTeX, EndNote)谷歌学术引用次
    9. Quan Zou*, Pengwei Xing, Leyi Wei, Bin Liu*. Gene2vec: Gene Subsequence Embedding for Prediction of Mammalian N6‐Methyladenosine Sites from mRNA. RNA. 2019, 25(2): 205-218 (web server)(BibTeX, EndNote)谷歌学术引用次
    10. Chen Cao*, Mengting Shao, Jianhua Wang, Zhenghui Li, Haoran Chen, Tianyi You, Mulin Jun Li, Yijie Ding*, Quan Zou*. webTWAS 2.0: update platform for identifying complex disease susceptibility genes through transcriptome-wide association study. Nucleic Acids Research. 2025, 53: D1261-D1269 (web site)谷歌学术引用次
    11. Chen Cao*, Mengting Shao, Chunman Zuo, Devin Kwok, Lin Liu, Yuli Ge, Zilong Zhang, Feifei Cui, Mingshuai Chen, Rui Fan, Yijie Ding, Hangjin Jiang, Guishen Wang*, Quan Zou*. RAVAR: a curated repository for rare variant-trait associations. Nucleic Acids Research. 2024, 52(D1): D990-D997. (web server)谷歌学术引用次
    12. Chen Cao, Jianhua Wang, Devin Kwok, Zilong Zhang, Feifei Cui, Da Zhao, Mulin Jun Li, Quan Zou*. webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study. Nucleic Acids Research. 2022, 50(D1): D1123-D1130. (web site)谷歌学术引用次
    13. Zhecheng Zhou, Jinhang Wei, Mingzhe Liu, Linlin Zhuo*, Xiangzheng Fu*, Quan Zou*. AnomalGRN: Deciphering Single-Cell Gene Regulation Network with Graph Anomaly Detection. BMC Biology. 2025, 23: 73 (codes)谷歌学术引用次
    14. Mengting Niu, Chunyu Wang, Zhanguo Zhang*, Quan Zou*. A computational model of circRNA-associated diseases based on a graph neural network: prediction and case studies for follow-up experimental validation. BMC Biology. 2024, 22:24. (codes)谷歌学术引用次
    15. Chao Wang, Quan Zou*. Prediction of protein solubility based on sequence physicochemical patterns and distributed representation information with DeepSoluE. BMC Biology. 2023, 21:12. (web server)谷歌学术引用次
    16. Zhonghao Ren, Xiangxiang Zeng, Yizhen Lao, Heping Zheng, Zhuhong You, Hongxin Xiang, Quan Zou*. A spatial hierarchical network learning framework for drug repositioning allowing interpretation from macro to micro scale. Communications Biology. 2024, 7: 1413 (codes)谷歌学术引用次
    17. Ximei Luo, Quan Zou*. Identifying the “stripe” transcription factors and cooperative binding related to DNA methylation. Communications Biology. 2024, 7: 1265. (codes)谷歌学术引用次
    18. Quan Zou*, Qingh Hu, Maozu Guo, Guohua Wang*. HAlign: Fast Multiple Similar DNA/RNA Sequence Alignment Based on the Centre Star Strategy. Bioinformatics. 2015,31(15): 2475-2481. (Software)(该软件被OMICTOOLS推荐)(BibTeX, EndNote)谷歌学术引用次
    19. Wei Tang, Shixiang Wan, Zhen Yang, Andrew E. Teschendorff*, Quan Zou*. Tumor Origin Detection with Tissue-Specific miRNA and DNA methylation Markers. Bioinformatics. 2018, 34(3): 398-406. (web server) (BibTeX, EndNote)谷歌学术引用次
    20. Cangzhi Jia*, Yun Zuo, Quan Zou*. O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique. Bioinformatics. 2018, 34(12): 2029-2036.(web server)(该软件被OMICTOOLS推荐)(BibTeX, EndNote)谷歌学术引用次
    21. Xiangxiang Zeng, Li Liu, Linyuan Lu*, Quan Zou*. Prediction of potential disease-associated microRNAs using structural perturbation method. Bioinformatics. 2018, 34(14): 2425-2432.(codes)(BibTeX, EndNote)谷歌学术引用次
    22. Wenying He, Cangzhi Jia*, Quan Zou*. 4mCPred: Machine Learning Methods for DNA N4-methylcytosine sites Prediction. Bioinformatics. 2019, 35(4): 593-601 (web server)(该软件被OMICTOOLS推荐)谷歌学术引用次
    23. Leyi Wei, Shasha Luan, Luis Eijy Nagai, Ran Su*, Quan Zou*. Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species. Bioinformatics. 2019, 35(8): 1326-1333. (web server)谷歌学术引用次
    24. Leyi Wei*, Chen Zhou, Ran Su*, Quan Zou*. PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning. Bioinformatics. 2019, 35(21):4272-4280. (web server)谷歌学术引用次
    25. Xiangzheng Fu, Lijun Cai, Xiangxiang Zeng*, Quan Zou*. StackCPPred: A Stacking and Pairwise Energy Content based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency. Bioinformatics. 2020, 36(10):3028-3034. (code)谷歌学术引用次
    26. Yu Zhang, Quan Zou*. PPTPP: A novel therapeutic peptide prediction method using physicochemical property encoding and adaptive feature representation learning. Bioinformatics. 2020, 36(13): 3982-3987 (codes and data)谷歌学术引用次
    27. Zijie Shen, Quan Zou*. Basic polar and hydrophobic properties are the main characteristics that affect the binding of transcription factors to methylation sites. Bioinformatics. 2020,36(15):4263-4268 (Supplementary data) 谷歌学术引用次
    28. Xiaoqing Ru, Xiucai Ye*, Tetsuya Sakurai, Quan Zou*. NerLTR-DTA: Drug-target binding affinity prediction based on neighbor relationship and learning to rank. Bioinformatics. 2022, 38(7): 1964-1971. (codes and datasets)谷歌学术引用次
    29. Zilong Zhang, Feifei Cui, Wei Su, Lijun Dou, Anqi Xu, Chen Cao, Quan Zou*. webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration. Bioinformatics. 2022, 38(13):3488-3489. (web server)谷歌学术引用次
    30. Yansu Wang, Ximei Luo, Quan Zou*. Effector-GAN: prediction of fungal effector proteins based on pretrained deep representation learning methods and generative adversarial networks. Bioinformatics. 2022, 38(14):3541-3548. (web server)谷歌学术引用次
    31. Chao Cao, Chunyu Wang, Shuhong Yang, Quan Zou*. CircSI-SSL: circRNA-binding site identification based on self-supervised learning. Bioinformatics. 2024, 40(1): btae004. (codes)谷歌学术引用次
    32. Pinglu Zhang, Huan Liu, Yanming Wei, Yixiao Zhai, Qinzhong Tian, Quan Zou*. FMAlign2: A novel fast multiple nucleotide sequence alignment method for ultralong datasets. Bioinformatics. 2024, 40(1): btae014(codes) 谷歌学术引用次
    33. Zhecheng Zhou, Qingquan Liao, Jinhang Wei, Linlin Zhuo*, Xiaonan Wu*, Xiangzheng Fu*,Quan Zou*. Revisiting Drug-Protein Interaction Prediction: A Novel Global-Local Perspective. Bioinformatics. 2024, 40(5): btae271. (codes)谷歌学术引用次
    34. Yushan Qiu, Lingfei Yang, Hao Jiang*, Quan Zou*. scTPC: a novel semi-supervised deep clustering model for scRNA-seq data. Bioinformatics. 2024, 40(5): btae293 (codes)谷歌学术引用次
    35. Matee Ullah, Shahid Akbar, Ali Raza, Quan Zou*. DeepAVP-TPPred: identification of antiviral peptides using transformed image-based localized descriptors and binary tree growth algorithm. Bioinformatics. 2024, 40(5): btae305 (codes)谷歌学术引用次
    36. Wei Song, Lewen Xu, Chenguang Han, Zhen Tian*, Quan Zou*. Drug-target interaction predictions with multi-view similarity network fusion strategy and deep interactive attention mechanism. Bioinformatics. 2024, 40(6): btae346. (codes)谷歌学术引用次
    37. Xinqian Ma, Xiangzheng Fu, Tao Wang, Linlin Zhuo*, Quan Zou*. GraphADT: Empowering Interpretable Predictions of Acute Dermal Toxicity with Multi-View Graph Pooling and Structure Remapping. Bioinformatics. 2024, 40(7): btae438. (codes)谷歌学术引用次
    38. Shida He, Xiucai Ye, Sakurai Tetsuya, Quan Zou*. MRMD3.0: A Python tool and webserver for dimensionality reduction and data visualization via an ensemble strategy. Journal of Molecular Biology. 2023, 435: 168116 (web site)谷歌学术引用次

    所获奖励：

  • 2023年度吴文俊人工智能自然科学奖二等奖(排名第1)
  • 2021年度黑龙江省自然科学二等奖(排名第2)
  • 2021年度天津市自然科学二等奖(排名第2)
  • 2019年度福建省自然科学奖三等奖(排名第1)
  • 2019年度教育部自然科学奖二等奖(排名第2)
  • 2013年度厦门大学第七届高等教育教学成果二等奖(排名第5)
  • 第十三批四川省学术和技术带头人(自然科学)
  • 四川省高层次人才计划
  • 科睿唯安(Clarivate Analytics)“全球高被引学者”("计算机科学"和"生物与生物化学"两个领域, 2018-2023)
  • 爱思唯尔中国高被引学者（计算机科学与技术领域,2020-2023）
  • Global Peer Review Awards (Top 1% in Biology and Biochemistry, Cross-Field) Powered by Publons
  • 入选美国斯坦福大学发布的世界前2%科学家榜单
  • Research.com计算机学科中国区学者排名第146名，世界第1394名(2024年9月数据)
  • 同舟云学术发布的2023全球学者学术影响力排行榜第21457名
  • ScholarGPS学术排名

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    培养学生：

  • 厦门大学
  • 天津大学
  • 电子科技大学

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    联系方式：

  • Email: zouquan(a)nclab.net(为防止垃圾邮件，请把(a)换成@)
  • QQ:(同事请加32400920) (学生请加1020628735)

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    最后修改时间：2025.5.19
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