Cargando…
Prediction and interpretation of miRNA-disease associations based on miRNA target genes using canonical correlation analysis
BACKGROUND: It has been shown that the deregulation of miRNAs is associated with the development and progression of many human diseases. To reduce time and cost of biological experiments, a number of algorithms have been proposed for predicting miRNA-disease associations. However, the existing metho...
Autores principales: | Chen, Hailin, Zhang, Zuping, Feng, Dayi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657378/ https://www.ncbi.nlm.nih.gov/pubmed/31345171 http://dx.doi.org/10.1186/s12859-019-2998-8 |
Ejemplares similares
-
Comparative analysis of similarity measurements in miRNAs with applications to miRNA-disease association predictions
por: Chen, Hailin, et al.
Publicado: (2020) -
miRDDCR: a miRNA-based method to comprehensively infer drug-disease causal relationships
por: Chen, Hailin, et al.
Publicado: (2017) -
Integrative Analysis of miRNA-mRNA and miRNA-miRNA Interactions
por: Guo, Li, et al.
Publicado: (2014) -
A miRNA-Driven Inference Model to Construct Potential Drug-Disease Associations for Drug Repositioning
por: Chen, Hailin, et al.
Publicado: (2015) -
About miRNAs, miRNA seeds, target genes and target pathways
por: Kehl, Tim, et al.
Publicado: (2017)