Cargando…
ncRNA-disease association prediction based on sequence information and tripartite network
BACKGROUND: Current technology has demonstrated that mutation and deregulation of non-coding RNAs (ncRNAs) are associated with diverse human diseases and important biological processes. Therefore, developing a novel computational method for predicting potential ncRNA-disease associations could benef...
Autores principales: | Mori, Takuya, Ngouv, Hayliang, Hayashida, Morihiro, Akutsu, Tatsuya, Nacher, Jose C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5907179/ https://www.ncbi.nlm.nih.gov/pubmed/29671405 http://dx.doi.org/10.1186/s12918-018-0527-4 |
Ejemplares similares
-
ncPred: ncRNA-Disease Association Prediction through Tripartite Network-Based Inference
por: Alaimo, Salvatore, et al.
Publicado: (2014) -
Mammalian ncRNA-disease repository: a global view of ncRNA-mediated disease network
por: Wang, Y, et al.
Publicado: (2013) -
Adjacent Nucleotide Dependence in ncRNA and Order-1 SCFG for ncRNA Identification
por: Wong, Thomas K. F., et al.
Publicado: (2010) -
RNAcentral: an international database of ncRNA sequences
Publicado: (2015) -
A Keystone for ncRNA
por: Hacisuleyman, Ezgi, et al.
Publicado: (2012)