Predicting miRNA–disease associations using improved random walk with restart and integrating multiple similarities

Predicting beneficial and valuable miRNA–disease associations (MDAs) by doing biological laboratory experiments is costly and time-consuming. Proposing a forceful and meaningful computational method for predicting MDAs is essential and captivated many computer scientists in recent years. In this pap...

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Detalles Bibliográficos
Autores principales: Nguyen, Van Tinh, Le, Thi Tu Kien, Than, Khoat, Tran, Dang Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548500/
https://www.ncbi.nlm.nih.gov/pubmed/34702958
http://dx.doi.org/10.1038/s41598-021-00677-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548500/
https://www.ncbi.nlm.nih.gov/pubmed/34702958
http://dx.doi.org/10.1038/s41598-021-00677-w

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