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Lezheng Yu

Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences
2008 · Yanzhi Guo, Lezheng Yu, et al. · Nucleic Acids Research · 702
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Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach
2009 · Yu-hong Zeng, Yan-zhi Guo, et al. · Journal of Theoretical Biology · 201
SecretP: Identifying bacterial secreted proteins by fusing new features into Chou’s pseudo-amino acid composition
2010 · Lezheng Yu, Yanzhi Guo, et al. · Journal of Theoretical Biology · 121
DeepACP: A Novel Computational Approach for Accurate Identification of Anticancer Peptides by Deep Learning Algorithm
2020 · Lezheng Yu, Runyu Jing, et al. · Molecular Therapy — Nucleic Acids · 90
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The applications of deep learning algorithms on in silico druggable proteins identification
2022 · Lezheng Yu, Li Xue, et al. · Journal of Advanced Research · 50
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Predicting disease-associated substitution of a single amino acid by analyzing residue interactions
2011 · Yizhou Li, Zhining Wen, et al. · BMC Bioinformatics · 49
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SecretP: A new method for predicting mammalian secreted proteins
2010 · Lezheng Yu, Yanzhi Guo, et al. · Peptides · 37
An Ensemble Classifier of Support Vector Machines Used to Predict Protein Structural Classes by Fusing Auto Covariance and Pseudo-Amino Acid Composition
2010 · Jiang Wu, Meng-Long Li, et al. · The Protein Journal · 31
Functional classification of secreted proteins by position specific scoring matrix and auto covariance
2011 · Jiesi Luo, Lezheng Yu, et al. · Chemometrics and Intelligent Laboratory Systems · 22
DeepT3 2.0: improving type III secreted effector predictions by an integrative deep learning framework
2021 · Runyu Jing, Tingke Wen, et al. · NAR Genomics and Bioinformatics · 19
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DeepT3_4: A Hybrid Deep Neural Network Model for the Distinction Between Bacterial Type III and IV Secreted Effectors
2021 · Lezheng Yu, Fengjuan Liu, et al. · Frontiers in Microbiology · 18
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layerUMAP: A tool for visualizing and understanding deep learning models in biological sequence classification using UMAP
2022 · Runyu Jing, Li Xue, et al. · iScience · 17
Predicting protein lysine methylation sites by incorporating single-residue structural features into Chou's pseudo components
2018 · Hao Qiu, Yanzhi Guo, et al. · Chemometrics and Intelligent Laboratory Systems · 14
In silico identification of Gram-negative bacterial secreted proteins from primary sequence
2013 · Lezheng Yu, Jiesi Luo, et al. · Computers in Biology and Medicine · 14
Systematic Analysis and Accurate Identification of DNA N4-Methylcytosine Sites by Deep Learning
2022 · Lezheng Yu, Yonglin Zhang, et al. · Frontiers in Microbiology · 13
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Multimodal deep learning for allergenic proteins prediction
2025 · Lezheng Yu, Yuxin Luo, et al. · BMC Biology · 11
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Predicting deleterious non-synonymous single nucleotide polymorphisms in signal peptides based on hybrid sequence attributes
2011 · Wenli Qin, Yizhou Li, et al. · Computational Biology and Chemistry · 8
Evaluation and development of deep neural networks for RNA 5-Methyluridine classifications using autoBioSeqpy
2023 · Lezheng Yu, Yonglin Zhang, et al. · Frontiers in Microbiology · 7
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Fast and Efficient Design of Deep Neural Networks for Predicting N7-Methylguanosine Sites Using autoBioSeqpy
2023 · Yonglin Zhang, Lezheng Yu, et al. · ACS Omega · 6
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EnsembleDL-ATG: Identifying autophagy proteins by integrating their sequence and evolutionary information using an ensemble deep learning framework
2023 · Lezheng Yu, Yonglin Zhang, et al. · Computational and Structural Biotechnology Journal · 6
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Two multi-classification strategies used on SVM to predict protein structural classes by using auto covariance
2009 · Jiang Wu, Yi-Zhou Li, et al. · Interdisciplinary Sciences Computational Life Sciences · 4
Optimizing lipocalin sequence classification with ensemble deep learning models
2025 · Yonglin Zhang, Lezheng Yu, et al. · PLoS ONE · 2
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A method for gene essentiality in miRNA-TF-mRNA co-regulatory network and its application on prostate cancer
2019 · Jiali Guo, Ziyan Huang, et al. · Chemometrics and Intelligent Laboratory Systems · 2
An Improved Approach for Rapidly Identifying Different Types of Gram-Negative Bacterial Secreted Proteins
2018 · Lezheng Yu, Fengjuan Liu, et al. · Natural Science · 2
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Using the improved position specific scoring matrix and ensemble learning method to predict drug-binding residues from protein sequences
2012 · Juan Li, Yongqing Zhang, et al. · Natural Science · 2
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Works count: 27
Citation count: 1,449
H-index: 14
I10-index: 16
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