Min Zeng

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Min LiSchool of Computer Science and Engineering, Central South UniversityAdresse e-mail validée de mail.csu.edu.cn
FangXiang WUProfessor, FIEEE, FIET, University of Saskatchewan, CanadaAdresse e-mail validée de usask.ca
Yaohang LiDepartment of Computer Science, Old Dominion UniversityAdresse e-mail validée de cs.odu.edu
Fuhao ZhangCollege of Information Engineering, Northwest A&F UniversityAdresse e-mail validée de nwafu.edu.cn
Jianxin WangSchool of Computer Science and Engineering, Central South universityAdresse e-mail validée de mail.csu.edu.cn
Chengqian LuXiangtan UniversityAdresse e-mail validée de xtu.edu.cn
Yiming LiCentral South UniversityAdresse e-mail validée de csu.edu.cn
Yifan WuSchool of Computer Science and Engineering, Central South UniversityAdresse e-mail validée de csu.edu.cn
Yi PanShenzhen University of Advanced Technology, ChinaAdresse e-mail validée de cs.gsu.edu
Lukasz KurganComputer Science, Virginia Commonwealth UniversityAdresse e-mail validée de vcu.edu
Wenkang WangCentral South UniversityAdresse e-mail validée de csu.edu.cn
Ruiqing ZhengSchool of Computer Science and Engineering, Central South UniversityAdresse e-mail validée de csu.edu.cn
Xingyi LiSchool of Computer Science, Northwestern Polytechnical UniversityAdresse e-mail validée de nwpu.edu.cn
Shichao KanCentral South UniversityAdresse e-mail validée de csu.edu.cn
Junwen DuanCentral South UniversityAdresse e-mail validée de csu.edu.cn
Wei LanGuangxi UniversityAdresse e-mail validée de gxu.edu.cn
Xiangmao MengSchool of Computer Science , Xiangtan UniversityAdresse e-mail validée de xtu.edu.cn
Rui YinUniversity of FloridaAdresse e-mail validée de ufl.edu
Fei GuoSchool of Computer Science and Engineering, Central South University

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Min Zeng

School of Computer Science and Engineering, Central South University

Adresse e-mail validée de csu.edu.cn - Page d'accueil

Bioinformatics Machine Learning Deep Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	238	2020
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	198	2016
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	151	2018
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	134	2020
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	122	2019
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	104	2019
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	101	2019
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	86	2020
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	82	2022
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	75	2022
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	70	2020
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	68	2019
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	55	2020
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	44	2023
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	42	2020
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	42	2020
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	39	2020
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	34	2022
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	28	2021
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	25	2023

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