A random forest based computational model for predicting novel lncRNA-disease associations

BACKGROUND: Accumulated evidence shows that the abnormal regulation of long non-coding RNA (lncRNA) is associated with various human diseases. Accurately identifying disease-associated lncRNAs is helpful to study the mechanism of lncRNAs in diseases and explore new therapies of diseases. Many lncRNA...

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Detalles Bibliográficos
Autores principales: Yao, Dengju, Zhan, Xiaojuan, Zhan, Xiaorong, Kwoh, Chee Keong, Li, Peng, Wang, Jinke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099795/
https://www.ncbi.nlm.nih.gov/pubmed/32216744
http://dx.doi.org/10.1186/s12859-020-3458-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099795/
https://www.ncbi.nlm.nih.gov/pubmed/32216744
http://dx.doi.org/10.1186/s12859-020-3458-1

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