Yüklüyor......
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...
Kaydedildi:
| Yayımlandı: | BMC Bioinformatics |
|---|---|
| Asıl Yazarlar: | , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BioMed Central
2021
|
| Konular: | |
| Online Erişim: | 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 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|