A structural deep network embedding model for predicting associations between miRNA and disease based on molecular association network
Abstract 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 mo...
Guardado en:
Autores principales: | Hao-Yuan Li, Hai-Yan Chen, Lei Wang, Shen-Jian Song, Zhu-Hong You, Xin Yan, Jin-Qian Yu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5cf8b559eacc474582a34e762013b501 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
EOESGC: predicting miRNA-disease associations based on embedding of embedding and simplified graph convolutional network
por: Shanchen Pang, et al.
Publicado: (2021) -
Role of circRNA-miRNA-mRNA interaction network in diabetes and its associated complications
por: Shukla Sakshi, et al.
Publicado: (2021) -
IMDAILM: Inferring miRNA-Disease Association by Integrating lncRNA and miRNA Data
por: Yuhua Yao, et al.
Publicado: (2020) -
Integrated Analysis Reveals a lncRNA–miRNA–mRNA Network Associated with Pigeon Skeletal Muscle Development
por: Tao Zhang, et al.
Publicado: (2021) -
Construction of miRNA-mRNA-TF Regulatory Network for Diagnosis of Gastric Cancer
por: Zhenjie Fu, et al.
Publicado: (2021)