Meineng Wang

Orcid: 0000-0001-8882-3156

According to our database1, Meineng Wang authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

2020
2021
2022
2023
2024
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5
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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Graph-Regularized Non-Negative Matrix Factorization for Single-Cell Clustering in scRNA-Seq Data.
IEEE J. Biomed. Health Informatics, August, 2024

Attention-Based Learning for Predicting Drug-Drug Interactions in Knowledge Graph Embedding Based on Multisource Fusion Information.
Int. J. Intell. Syst., 2024

A Single-Cell Clustering Algorithm Based on Structure Perturbation Non-Negative Matrix Factorization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2021
LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization.
Neurocomputing, 2021

A learning-based method to predict LncRNA-disease associations by combining CNN and ELM.
BMC Bioinform., 2021

Weighted Nonnegative Matrix Factorization Based on Multi-source Fusion Information for Predicting CircRNA-Disease Associations.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information.
BMC Bioinform., 2020

GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA Interactions.
IEEE Access, 2020

DTIFS: A Novel Computational Approach for Predicting Drug-Target Interactions from Drug Structure and Protein Sequence.
Proceedings of the Intelligent Computing Theories and Application, 2020

WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020


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