Cargando...
A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations
BACKGROUND: Numerous studies have demonstrated that long non-coding RNAs are related to plenty of human diseases. Therefore, it is crucial to predict potential lncRNA-disease associations for disease prognosis, diagnosis and therapy. Dozens of machine learning and deep learning algorithms have been...
Gardado en:
| Publicado en: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BioMed Central
2021
|
| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7983260/ https://ncbi.nlm.nih.gov/pubmed/33745450 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04073-z |
| Tags: |
Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|