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Journal of Chemical Information and Modeling|November 29, 2018
Prediction of CRISPR sgRNA Activity Using a Deep Convolutional Neural NetworkLi Xue, Bin Tang, Wei Chen, et al.BMC Bioinformatics|June 15, 2019
Prediction of activity and specificity of CRISPR-Cpf1 using convolutional deep learning neural networksJiesi Luo, Wei Chen, Li Xue, et al.Bioinformatics (Oxford, England)|November 9, 2018
DeepT3: deep convolutional neural networks accurately identify Gram-negative bacterial type III secreted effectors using the N-terminal sequenceLi Xue, Bin Tang, Wei Chen, et al.Genomics|September 17, 2021
Evaluation of deep learning approaches for modeling transcription factor sequence specificityYonglin Zhang, Qi Mo, Li Xue, et al.Iscience|November 25, 2022
layerUMAP: A tool for visualizing and understanding deep learning models in biological sequence classification using UMAPRunyu Jing, Li Xue, Menglong Li, et al.Computational and Structural Biotechnology Journal|October 19, 2023
EnsembleDL-ATG: Identifying autophagy proteins by integrating their sequence and evolutionary information using an ensemble deep learning frameworkLezheng Yu, Yonglin Zhang, Li Xue, et al.Analytical Biochemistry|March 22, 2026
Prediction of cyclin-dependent proteins using pre-trained protein language models and effective neural network architecturesJing Liu, Qiaorong Wu, Wenwei Tao, et al.Scientific Data|October 25, 2019
Multiple-data-based monthly geopotential model set LDCmgm90Wei Chen, Jiesi Luo, Jim Ray, et al.Frontiers in Microbiology|June 5, 2023
Evaluation and development of deep neural networks for RNA 5-Methyluridine classifications using autoBioSeqpyLezheng Yu, Yonglin Zhang, Li Xue, et al.Plos One|April 16, 2025
Optimizing lipocalin sequence classification with ensemble deep learning modelsYonglin Zhang, Lezheng Yu, Li Xue, et al.Pageof 2,668