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Leyi WEI
Leyi WEI
Professor, School of Software, Shandong University
Verified email at sdu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
4792019
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
4092019
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
2732018
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
2262013
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
2242017
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
2102017
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
1992018
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
1872017
Fast prediction of protein methylation sites using a sequence-based feature selection technique
L Wei, P Xing, G Shi, Z Ji, Q Zou
IEEE/ACM Transactions on Computational Biology and Bioinformatics 16 (4 …, 2017
1802017
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
1732019
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
1662019
Deep-Resp-Forest: a deep forest model to predict anti-cancer drug response
R Su, X Liu, L Wei, Q Zou
Methods 166, 91-102, 2019
1622019
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
1482018
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
1422017
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
1402018
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
1292019
Identifying enhancer–promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism
Z Hong, X Zeng, L Wei, X Liu
Bioinformatics 36 (4), 1037-1043, 2020
1162020
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools
R Su, J Hu, Q Zou, B Manavalan, L Wei
Briefings in Bioinformatics 21 (2), 408-420, 2020
1132020
Developing a multi-dose computational model for drug-induced hepatotoxicity prediction based on toxicogenomics data
R Su, H Wu, B Xu, X Liu, L Wei
IEEE/ACM Transactions on computational biology and bioinformatics 16 (4 …, 2018
1122018
Iterative feature representations improve N4-methylcytosine site prediction
L Wei, R Su, S Luan, Z Liao, B Manavalan, Q Zou, X Shi
Bioinformatics 35 (23), 4930-4937, 2019
1102019
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