Quan Zou (邹权)
Quan Zou (邹权)
University of Electronic Science and Technology of China
Verified email at - Homepage
Cited by
Cited by
Predicting diabetes mellitus with machine learning techniques
Q Zou, K Qu, Y Luo, D Yin, Y Ju, H Tang
Frontiers in genetics 9, 515, 2018
Biological functions of microRNAs: a review
Y Huang, XJ Shen, Q Zou, SP Wang, SM Tang, GZ Zhang
Journal of physiology and biochemistry, 1-11, 2011
Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA
Q Zou, P Xing, L Wei, B Liu
Rna 25 (2), 205-218, 2019
The Symbiodinium kawagutii genome illuminates dinoflagellate gene expression and coral symbiosis
S Lin, S Cheng, B Song, X Zhong, X Lin, W Li, L Li, Y Zhang, H Zhang, Z Ji, ...
Science 350 (6261), 691-694, 2015
A novel features ranking metric with application to scalable visual and bioinformatics data classification
Q Zou, J Zeng, L Cao, R Ji
Neurocomputing 173, 346-354, 2016
A comprehensive overview and evaluation of circular RNA detection tools
X Zeng, W Lin, M Guo, Q Zou
PLoS computational biology 13 (6), e1005420, 2017
Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks
X Zeng, X Zhang, Q Zou
Briefings in bioinformatics 17 (2), 193-203, 2016
Tumor origin detection with tissue-specific miRNA and DNA methylation markers
W Tang, S Wan, Z Yang, AE Teschendorff, Q Zou
Bioinformatics 34 (3), 398-406, 2018
Inferring microRNA-disease associations by random walk on a heterogeneous network with multiple data sources
Y Liu, X Zeng, Z He, Q Zou
IEEE/ACM transactions on computational biology and bioinformatics 14 (4 …, 2016
Similarity computation strategies in the microRNA-disease network: a survey
Q Zou, J Li, L Song, X Zeng, G Wang
Briefings in functional genomics 15 (1), 55-64, 2016
LibD3C: ensemble classifiers with a clustering and dynamic selection strategy
C Lin, W Chen, C Qiu, Y Wu, S Krishnan, Q Zou
Neurocomputing 123, 424-435, 2014
Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information
L Wei, J Tang, Q Zou
Information Sciences 384, 135-144, 2017
Improved and promising identification of human microRNAs by incorporating a high-quality negative set
L Wei, M Liao, Y Gao, R Ji, Z He, Q Zou
IEEE/ACM transactions on computational biology and bioinformatics 11 (1 …, 2013
webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study
C Cao, J Wang, D Kwok, F Cui, Z Zhang, D Zhao, MJ Li, Q Zou
Nucleic acids research 50 (D1), D1123-D1130, 2022
Finding the best classification threshold in imbalanced classification
Q Zou, S Xie, Z Lin, M Wu, Y Ju
Big Data Research 5, 2-8, 2016
Sequence clustering in bioinformatics: an empirical study
Q Zou, G Lin, X Jiang, X Liu, X Zeng
Briefings in bioinformatics 21 (1), 1-10, 2020
Prediction of potential disease-associated microRNAs using structural perturbation method
X Zeng, L Liu, L Lü, Q Zou
Bioinformatics 34 (14), 2425-2432, 2018
Survey of MapReduce frame operation in bioinformatics
Q Zou, XB Li, WR Jiang, ZY Lin, GL Li, K Chen
Briefings in bioinformatics 15 (4), 637-647, 2014
Prediction of human protein subcellular localization using deep learning
L Wei, Y Ding, R Su, J Tang, Q Zou
Journal of Parallel and Distributed Computing 117, 212-217, 2018
Prediction and validation of disease genes using HeteSim Scores
X Zeng, Y Liao, Y Liu, Q Zou
IEEE/ACM transactions on computational biology and bioinformatics 14 (3 …, 2016
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