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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...

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Bibliografski detalji
Izdano u:BMC Bioinformatics
Glavni autori: Shi, Zhuangwei, Zhang, Han, Jin, Chen, Quan, Xiongwen, Yin, Yanbin
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2021
Teme:
Online pristup: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
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