Prediction of Potential Disease-Associated MicroRNAs by Using Neural Networks

Identifying disease-related microRNAs (miRNAs) is an essential but challenging task in bioinformatics research. Much effort has been devoted to discovering the underlying associations between miRNAs and diseases. However, most studies mainly focus on designing advanced methods to improve prediction...

Descripción completa

Detalles Bibliográficos
Autores principales: Zeng, Xiangxiang, Wang, Wen, Deng, Gaoshan, Bing, Jiaxin, Zou, Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Gene & Cell Therapy 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510966/
https://www.ncbi.nlm.nih.gov/pubmed/31077936
http://dx.doi.org/10.1016/j.omtn.2019.04.010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510966/
https://www.ncbi.nlm.nih.gov/pubmed/31077936
http://dx.doi.org/10.1016/j.omtn.2019.04.010

Ejemplares similares