Cargando…
BRWLDA: bi-random walks for predicting lncRNA-disease associations
Increasing efforts have been done to figure out the association between lncRNAs and complex diseases. Many computational models construct various lncRNA similarity networks, disease similarity networks, along with known lncRNA-disease associations to infer novel associations. However, most of them n...
Autores principales: | Yu, Guoxian, Fu, Guangyuan, Lu, Chang, Ren, Yazhou, Wang, Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601150/ https://www.ncbi.nlm.nih.gov/pubmed/28947982 http://dx.doi.org/10.18632/oncotarget.19588 |
Ejemplares similares
-
Laplacian normalization and bi-random walks on heterogeneous networks for predicting lncRNA-disease associations
por: Wen, Yaping, et al.
Publicado: (2018) -
Drug repositioning based on individual bi-random walks on a heterogeneous network
por: Wang, Yuehui, et al.
Publicado: (2019) -
IRWRLDA: improved random walk with restart for lncRNA-disease association prediction
por: Chen, Xing, et al.
Publicado: (2016) -
MSF-UBRW: An Improved Unbalanced Bi-Random Walk Method to Infer Human lncRNA-Disease Associations
por: Dai, Lingyun, et al.
Publicado: (2022) -
Global network random walk for predicting potential human lncRNA-disease associations
por: Gu, Changlong, et al.
Publicado: (2017)