PMAMCA: prediction of microRNA-disease association utilizing a matrix completion approach.
- Published in:
- BMC Systems Biology, 2019, v. 13, n. 1, p. N.PAG, doi. 10.1186/s12918-019-0700-4
- By:
- Publication type:
- Article
Works by Ha, Jihwan
Results: 6
1
2
DeepWalk-Based Graph Embeddings for miRNA–Disease Association Prediction Using Deep Neural Network.
- Published in:
- Biomedicines, 2025, v. 13, n. 3, p. 536, doi. 10.3390/biomedicines13030536
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- Publication type:
- Article
3
Graph Convolutional Network with Neural Collaborative Filtering for Predicting miRNA-Disease Association.
- Published in:
- Biomedicines, 2025, v. 13, n. 1, p. 136, doi. 10.3390/biomedicines13010136
- By:
- Publication type:
- Article
4
Improved Prediction of miRNA-Disease Associations Based on Matrix Completion with Network Regularization.
- Published in:
- Cells (2073-4409), 2020, v. 9, n. 4, p. 881, doi. 10.3390/cells9040881
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- Publication type:
- Article
5
MDMF: Predicting miRNA–Disease Association Based on Matrix Factorization with Disease Similarity Constraint.
- Published in:
- Journal of Personalized Medicine, 2022, v. 12, n. 6, p. 885, doi. 10.3390/jpm12060885
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- Publication type:
- Article
6
Neighborhood-Regularized Matrix Factorization for lncRNA–Disease Association Identification.
- Published in:
- International Journal of Molecular Sciences, 2025, v. 26, n. 9, p. 4283, doi. 10.3390/ijms26094283
- By:
- Publication type:
- Article