Cargando…
MDSCMF: Matrix Decomposition and Similarity-Constrained Matrix Factorization for miRNA–Disease Association Prediction
MicroRNAs (miRNAs) are small non-coding RNAs that are related to a number of complicated biological processes, and numerous studies have demonstrated that miRNAs are closely associated with many human diseases. In this study, we present a matrix decomposition and similarity-constrained matrix factor...
Autores principales: | Ni, Jiancheng, Li, Lei, Wang, Yutian, Ji, Cunmei, Zheng, Chunhou |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223216/ https://www.ncbi.nlm.nih.gov/pubmed/35741782 http://dx.doi.org/10.3390/genes13061021 |
Ejemplares similares
-
Predicting miRNA-Disease Associations Based on Heterogeneous Graph Attention Networks
por: Ji, Cunmei, et al.
Publicado: (2021) -
MSCHLMDA: Multi-Similarity Based Combinative Hypergraph Learning for Predicting MiRNA-Disease Association
por: Wu, Qingwen, et al.
Publicado: (2020) -
GATNNCDA: A Method Based on Graph Attention Network and Multi-Layer Neural Network for Predicting circRNA-Disease Associations
por: Ji, Cunmei, et al.
Publicado: (2021) -
SNFIMCMDA: Similarity Network Fusion and Inductive Matrix Completion for miRNA–Disease Association Prediction
por: Li, Lei, et al.
Publicado: (2021) -
SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization
por: Li, Lei, et al.
Publicado: (2021)