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...

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Detalles Bibliográficos
Autores principales: Yu, Guoxian, Fu, Guangyuan, Lu, Chang, Ren, Yazhou, Wang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
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

Internet

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

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