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Min Zeng
Min Zeng
School of Computer Science and Engineering, Central South University
Verified email at csu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
2262020
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
1942016
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
1502018
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
1292020
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
1222019
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
992019
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
972019
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
822020
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
792022
Deep matrix factorization improves prediction of human circRNA-disease associations
C Lu, M Zeng, F Zhang, FX Wu, M Li, J Wang
IEEE Journal of Biomedical and Health Informatics 25 (3), 891-899, 2020
652020
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
642022
DeepEP: a deep learning framework for identifying essential proteins
M Zeng, M Li, FX Wu, Y Li, Y Pan
BMC bioinformatics 20, 1-10, 2019
642019
DMFLDA: a deep learning framework for predicting lncRNA–disease associations
M Zeng, C Lu, Z Fei, FX Wu, Y Li, J Wang, M Li
IEEE/ACM transactions on computational biology and bioinformatics 18 (6 …, 2020
512020
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, 2020
382020
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, 1-12, 2020
382020
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation
M Li, B Zhao, R Yin, C Lu, F Guo, M Zeng
Briefings in Bioinformatics 24 (1), bbac565, 2023
342023
A deep learning framework for gene ontology annotations with sequence-and network-based information
F Zhang, H Song, M Zeng, FX Wu, Y Li, Y Pan, M Li
IEEE/ACM transactions on computational biology and bioinformatics 18 (6 …, 2020
342020
KAICD: A knowledge attention-based deep learning framework for automatic ICD coding
Y Wu, M Zeng, Z Fei, Y Yu, FX Wu, M Li
Neurocomputing 469, 376-383, 2022
312022
Essential protein prediction based on node2vec and XGBoost
N Wang, M Zeng, Y Li, FX Wu, M Li
Journal of Computational Biology 28 (7), 687-700, 2021
262021
A review of enzyme design in catalytic stability by artificial intelligence
Y Ming, W Wang, R Yin, M Zeng, L Tang, S Tang, M Li
Briefings in Bioinformatics 24 (3), bbad065, 2023
242023
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