Semi-supervised learning for potential human microRNA-disease associations inference

MicroRNAs play critical role in the development and progression of various diseases. Predicting potential miRNA-disease associations from vast amount of biological data is an important problem in the biomedical research. Considering the limitations in previous methods, we developed Regularized Least...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Xing, Yan, Gui-Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4074792/
https://www.ncbi.nlm.nih.gov/pubmed/24975600
http://dx.doi.org/10.1038/srep05501

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4074792/
https://www.ncbi.nlm.nih.gov/pubmed/24975600
http://dx.doi.org/10.1038/srep05501

Ejemplares similares