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Min Zeng
Min Zeng
School of Computer Science and Engineering, Central South University
在 csu.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Protein–protein interaction site prediction through combining local and global features with deep neural networks
M Zeng, F Zhang, FX Wu, Y Li, J Wang, M Li
Bioinformatics 36 (4), 1114-1120, 2020
1312020
Automated ICD-9 coding via a deep learning approach
M Li, Z Fei, M Zeng, FX Wu, Y Li, Y Pan, J Wang
IEEE/ACM transactions on computational biology and bioinformatics 16 (4 …, 2018
982018
Effective prediction of three common diseases by combining SMOTE with Tomek links technique for imbalanced medical data
M Zeng, B Zou, F Wei, X Liu, L Wang
2016 IEEE International Conference of Online Analysis and Computing Science …, 2016
812016
Network-based methods for predicting essential genes or proteins: a survey
X Li, W Li, M Zeng, R Zheng, M Li
Briefings in bioinformatics 21 (2), 566-583, 2020
802020
Automatic ICD-9 coding via deep transfer learning
M Zeng, M Li, Z Fei, Y Yu, Y Pan, J Wang
Neurocomputing 324, 43-50, 2019
772019
A deep learning framework for identifying essential proteins by integrating multiple types of biological information
M Zeng, M Li, Z Fei, FX Wu, Y Li, Y Pan, J Wang
IEEE/ACM transactions on computational biology and bioinformatics 18 (1 …, 2019
642019
DeepFunc: a deep learning framework for accurate prediction of protein functions from protein sequences and interactions
F Zhang, H Song, M Zeng, Y Li, L Kurgan, M Li
Proteomics 19 (12), 1900019, 2019
622019
SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning
M Zeng, C Lu, F Zhang, Y Li, FX Wu, Y Li, M Li
Methods 179, 73-80, 2020
452020
Deep matrix factorization improves prediction of human circRNA-disease associations
C Lu, M Zeng, F Zhang, WU FangXiang, M Li, J Wang
IEEE Journal of Biomedical and Health Informatics, 2020
332020
DeepEP: a deep learning framework for identifying essential proteins
M Zeng, M Li, FX Wu, Y Li, Y Pan
BMC bioinformatics 20 (16), 1-10, 2019
322019
DMFLDA: a deep learning framework for predicting IncRNA–disease associations
M Zeng, C Lu, Z Fei, F Wu, Y Li, J Wang, M Li
IEEE/ACM transactions on computational biology and bioinformatics, 2020
222020
Improving circRNA–disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks
C Lu, M Zeng, FX Wu, M Li, J Wang
Bioinformatics 36 (24), 5656-5664, 2021
192021
NEDD: a network embedding based method for predicting drug-disease associations
R Zhou, Z Lu, H Luo, J Xiang, M Zeng, M Li
BMC bioinformatics 21 (13), 1-12, 2020
172020
A deep learning framework for gene ontology annotations with sequence-and network-based information
F Zhang, H Song, M Zeng, F Wu, Y Li, Y Pan, M Li
IEEE/ACM transactions on computational biology and bioinformatics, 2020
152020
NetEPD: a network-based essential protein discovery platform
J Zhang, W Li, M Zeng, X Meng, L Kurgan, FX Wu, M Li
Tsinghua Science and Technology 25 (4), 542-552, 2020
122020
BridgeDPI: a novel Graph Neural Network for predicting drug–protein interactions
Y Wu, M Gao, M Zeng, J Zhang, M Li
Bioinformatics 38 (9), 2571-2578, 2022
112022
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding
M Zeng, Y Wu, C Lu, F Zhang, FX Wu, M Li
Briefings in Bioinformatics 23 (1), bbab360, 2022
112022
DeepPPF: A deep learning framework for predicting protein family
SM Yusuf, F Zhang, M Zeng, M Li
Neurocomputing 428, 19-29, 2021
92021
A deep learning framework for identifying essential proteins based on protein-protein interaction network and gene expression data
M Zeng, M Li, Z Fei, FX Wu, Y Li, Y Pan
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
92018
PROBselect: accurate prediction of protein-binding residues from proteins sequences via dynamic predictor selection
F Zhang, W Shi, J Zhang, M Zeng, M Li, L Kurgan
Bioinformatics 36 (Supplement_2), i735-i744, 2020
82020
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