Cargando…
A network embedding-based multiple information integration method for the MiRNA-disease association prediction
BACKGROUND: MiRNAs play significant roles in many fundamental and important biological processes, and predicting potential miRNA-disease associations makes contributions to understanding the molecular mechanism of human diseases. Existing state-of-the-art methods make use of miRNA-target association...
Autores principales: | Gong, Yuchong, Niu, Yanqing, Zhang, Wen, Li, Xiaohong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6740005/ https://www.ncbi.nlm.nih.gov/pubmed/31510919 http://dx.doi.org/10.1186/s12859-019-3063-3 |
Ejemplares similares
-
MiRNA-Drug Resistance Association Prediction Through the Attentive Multimodal Graph Convolutional Network
por: Niu, Yanqing, et al.
Publicado: (2022) -
Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction prediction
por: Zhao, Chengshuai, et al.
Publicado: (2020) -
LncRNA-miRNA interaction prediction through sequence-derived linear neighborhood propagation method with information combination
por: Zhang, Wen, et al.
Publicado: (2019) -
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) -
An Integrated Multiple Electrochemical miRNA Sensing System Embedded into a Microfluidic Chip
por: Gonzalez-Losada, Pedro, et al.
Publicado: (2022)