World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
88
Citations
23829
World Ranking
696
National Ranking
104

Research.com Recognitions

  • 2015 - ACM Senior Member

Overview

Quan Zou is affiliated with the University of Electronic Science and Technology of China. Their research primarily focuses on the broad field of Biochemistry, Genetics and Molecular Biology, with specialized work in Molecular Biology, Cancer Research, Computational Theory and Mathematics, Artificial Intelligence, and Microbiology.

The scientist's publication record includes numerous articles in prominent journals, with a strong presence in venues such as Briefings in Bioinformatics, Bioinformatics, BMC Biology, PLoS Computational Biology, and the IEEE Journal of Biomedical and Health Informatics.

Quan Zou's most recent papers include the following:

  • "webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study," 2021, Nucleic Acids Research
  • "Distance-based Support Vector Machine to Predict DNA N6-methyladenine Modification," 2022, Current Bioinformatics
  • "SBSM-Pro: support bio-sequence machine for proteins," 2024, Science China Information Sciences
  • "DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis," 2023, Nucleic Acids Research
  • "Molecular design in drug discovery: a comprehensive review of deep generative models," 2021, Briefings in Bioinformatics

Frequent coauthors in their collaborative network include Feifei Cui, Yijie Ding, Leyi Wei, Zilong Zhang, and Fei Guo.

The main topics Quan Zou works on comprise:

  • Machine Learning in Bioinformatics
  • RNA and protein synthesis mechanisms
  • Genomics and Phylogenetic Studies
  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Single-cell and spatial transcriptomics
  • Cancer-related molecular mechanisms research

They have been recognized with the ACM Senior Member award since 2015.

Best Publications

  • Predicting Diabetes Mellitus With Machine Learning Techniques

    Unknown

  • Biological functions of microRNAs: a review

    Yong Huang;Xing Jia Shen;Quan Zou;Sheng Peng Wang

  • Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA.

    Quan Zou;Quan Zou;Pengwei Xing;Leyi Wei;Bin Liu

  • A novel features ranking metric with application to scalable visual and bioinformatics data classification

    Quan Zou;Jiancang Zeng;Liujuan Cao;Rongrong Ji

  • A comprehensive overview and evaluation of circular RNA detection tools.

    Xiangxiang Zeng;Wei Lin;Maozu Guo;Quan Zou

  • webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study.

    Chen Cao;Jianhua Wang;Devin Kwok;Feifei Cui

  • Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks

    Xiangxiang Zeng;Xuan Zhang;Quan Zou

  • Tumor origin detection with tissue-specific miRNA and DNA methylation markers.

    Wei Tang;Shixiang Wan;Zhen Yang;Andrew E Teschendorff;Andrew E Teschendorff

  • Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources

    Yuansheng Liu;Xiangxiang Zeng;Zengyou He;Quan Zou

  • Finding the Best Classification Threshold in Imbalanced Classification

    Quan Zou;Quan Zou;Sifa Xie;Ziyu Lin;Meihong Wu

  • LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy

    Chen Lin;Wenqiang Chen;Cheng Qiu;Yunfeng Wu

  • Similarity computation strategies in the microRNA-disease network: a survey

    Quan Zou;Jinjin Li;Li Song;Xiangxiang Zeng

  • Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information

    Leyi Wei;Jijun Tang;Jijun Tang;Quan Zou

  • Improved and promising identification of human MicroRNAs by incorporating a high-quality negative set

    Leyi Wei;Minghong Liao;Yue Gao;Rongrong Ji

  • Prediction of potential disease-associated microRNAs using structural perturbation method.

    Xiangxiang Zeng;Li Liu;Linyuan Lü;Quan Zou

  • Survey of MapReduce frame operation in bioinformatics

    Quan Zou;Xu-Bin Li;Wen-Rui Jiang;Zi-Yu Lin

  • Prediction of human protein subcellular localization using deep learning

    Leyi Wei;Leyi Wei;Yijie Ding;Ran Su;Ran Su;Jijun Tang

  • Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response

    Ran Su;Xinyi Liu;Leyi Wei;Quan Zou

  • Sequence clustering in bioinformatics: an empirical study.

    Quan Zou;Quan Zou;Gang Lin;Xingpeng Jiang;Xiangrong Liu

  • Prediction and Validation of Disease Genes Using HeteSim Scores

    Xiangxiang Zeng;Yuanlu Liao;Yuansheng Liu;Quan Zou

  • Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection Technique

    Leyi Wei;Pengwei Xing;Gaotao Shi;Zhiliang Ji

Frequent Co-Authors

Xiangxiang Zeng
Xiangxiang Zeng Hunan University
Leyi Wei
Leyi Wei Shandong University
Maozu Guo
Maozu Guo Beijing University of Civil Engineering and Architecture
Jijun Tang
Jijun Tang University of South Carolina
Ran Su
Ran Su Tianjin University
Qinghua Hu
Qinghua Hu Tianjin University
Rongrong Ji
Rongrong Ji Xiamen University
Qin Ma
Qin Ma The Ohio State University
Xiaolong Wang
Xiaolong Wang University of California, San Diego
Andrew E. Teschendorff
Andrew E. Teschendorff University College London

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