Predicting potential miRNA-disease associations based on more reliable negative sample selection

BACKGROUND: Increasing biomedical studies have shown that the dysfunction of miRNAs is closely related with many human diseases. Identifying disease-associated miRNAs would contribute to the understanding of pathological mechanisms of diseases. Supervised learning-based computational methods have co...

Descripción completa

Detalles Bibliográficos
Autores principales: Guo, Ruiyu, Chen, Hailin, Wang, Wengang, Wu, Guangsheng, Lv, Fangliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575264/
https://www.ncbi.nlm.nih.gov/pubmed/36253735
http://dx.doi.org/10.1186/s12859-022-04978-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575264/
https://www.ncbi.nlm.nih.gov/pubmed/36253735
http://dx.doi.org/10.1186/s12859-022-04978-3

Ejemplares similares