Cargando…
A structural deep network embedding model for predicting associations between miRNA and disease based on molecular association network
Previous studies indicated that miRNA plays an important role in human biological processes especially in the field of diseases. However, constrained by biotechnology, only a small part of the miRNA-disease associations has been verified by biological experiment. This impel that more and more resear...
Autores principales: | Li, Hao-Yuan, Chen, Hai-Yan, Wang, Lei, Song, Shen-Jian, You, Zhu-Hong, Yan, Xin, Yu, Jin-Qian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209151/ https://www.ncbi.nlm.nih.gov/pubmed/34135401 http://dx.doi.org/10.1038/s41598-021-91991-w |
Ejemplares similares
-
iMDA-BN: Identification of miRNA-disease associations based on the biological network and graph embedding algorithm
por: Zheng, Kai, et al.
Publicado: (2020) -
EOESGC: predicting miRNA-disease associations based on embedding of embedding and simplified graph convolutional network
por: Pang, Shanchen, et al.
Publicado: (2021) -
NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information
por: Ji, Bo-Ya, et al.
Publicado: (2020) -
PmDNE: Prediction of miRNA-Disease Association Based on Network Embedding and Network Similarity Analysis
por: Li, Junyi, et al.
Publicado: (2020) -
Predicting miRNA-Disease Association Based on Modularity Preserving Heterogeneous Network Embedding
por: Peng, Wei, et al.
Publicado: (2021)