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Briefings in Bioinformatics|February 12, 2020
EP3: an ensemble predictor that accurately identifies type III secreted effectorsJing Li, Leyi Wei, Fei Guo, et al.Briefings in Functional Genomics|December 24, 2019
Machine learning and its applications in plant molecular studiesShanwen Sun, Chunyu Wang, Hui Ding, et al.Computational and Structural Biotechnology Journal|June 12, 2025
Prediction of CRISPR-Cas9 on-target activity based on a hybrid neural networkChuxuan Li, Quan Zou, Jian Li, et al.Bioinformatics (Oxford, England)|June 13, 2025
Differentiable Graph Clustering with Structural Grouping for Single-cell RNA-seq DataXiaoqiang Yan, Shike Du, Quan Zou, et al.Chemical Society Reviews|November 21, 2017
Iminium and enamine catalysis in enantioselective photochemical reactionsYou-Quan Zou, Fabian M Hörmann, Thorsten BachBriefings in Bioinformatics|January 17, 2021
Application of learning to rank in bioinformatics tasksXiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, et al.Methods (San Diego, Calif.)|February 18, 2019
Deep-Resp-Forest: A deep forest model to predict anti-cancer drug responseRan Su, Xinyi Liu, Leyi Wei, et al.Biomed Research International|April 8, 2014
Approaches for recognizing disease genes based on networkQuan Zou, Jinjin Li, Chunyu Wang, et al.Current Genomics|January 8, 2014
Computational approaches in detecting non- coding RNAChunyu Wang, Leyi Wei, Maozu Guo, et al.Bioinformatics (Oxford, England)|April 18, 2019
PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learningLeyi Wei, Chen Zhou, Ran Su, et al.Pageof 1,108