Leyi WEI
Leyi WEI
Professor, School of Software, Shandong University
在 sdu.edu.cn 的电子邮件经过验证 - 首页
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
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
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
Fast prediction of protein methylation sites using a sequence-based feature selection technique
L Wei, P Xing, G Shi, ZL Ji, Q Zou
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017
Improved prediction of protein–protein interactions using novel negative samples, features, and an ensemble classifier
L Wei, P Xing, J Zeng, JX Chen, R Su, F Guo
Artificial Intelligence in Medicine 83, 67-74, 2017
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
ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides
L Wei, C Zhou, H Chen, J Song, R Su
Bioinformatics 34 (23), 4007-4016, 2018
A novel hierarchical selective ensemble classifier with bioinformatics application
L Wei, S Wan, J Guo, KKL Wong
Artificial intelligence in medicine 83, 82-90, 2017
PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only
L Wei, P Xing, J Tang, Q Zou
IEEE transactions on nanobioscience 16 (4), 240-247, 2017
CPPred-RF: a sequence-based predictor for identifying cell-penetrating peptides and their uptake efficiency
L Wei, PW Xing, R Su, G Shi, ZS Ma, Q Zou
Journal of Proteome Research 16 (5), 2044-2053, 2017
Enhanced protein fold prediction method through a novel feature extraction technique
L Wei, M Liao, X Gao, Q Zou
IEEE transactions on nanobioscience 14 (6), 649-659, 2015
Recent progress in machine learning-based methods for protein fold recognition
L Wei, Q Zou
International journal of molecular sciences 17 (12), 2118, 2016
M6APred-EL: a sequence-based predictor for identifying N6-methyladenosine sites using ensemble learning
L Wei, H Chen, R Su
Molecular Therapy-Nucleic Acids 12, 635-644, 2018
An improved protein structural classes prediction method by incorporating both sequence and structure information
L Wei, M Liao, X Gao, Q Zou
NanoBioscience, IEEE Transactions on 14 (4), 339-349, 2015
Integration of deep feature representations and handcrafted features to improve the prediction of N6-methyladenosine sites
L Wei, R Su, B Wang, X Li, Q Zou, X Gao
Neurocomputing 324, 3-9, 2019
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation
B Manavalan, S Basith, TH Shin, L Wei, G Lee
Bioinformatics 35 (16), 2757-2765, 2019
Briefing in family characteristics of microRNAs and their applications in cancer research
Q Wang, L Wei, X Guan, Y Wu, Q Zou, ZL Ji
Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1844 (1), 191-197, 2014
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species
L Wei, S Luan, LAE Nagai, R Su, Q Zou
Bioinformatics, 2018
DUNet: A deformable network for retinal vessel segmentation
Q Jin, Z Meng, TD Pham, Q Chen, L Wei, R Su
Knowledge-Based Systems 178, 149-162, 2019
Meta-4mCpred: a sequence-based meta-predictor for accurate DNA 4mC site prediction using effective feature representation
B Manavalan, S Basith, TH Shin, L Wei, G Lee
Molecular Therapy-Nucleic Acids 16, 733-744, 2019
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