iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction

Accumulating evidence suggests that circRNAs play crucial roles in human diseases. CircRNA-disease association prediction is extremely helpful in understanding pathogenesis, diagnosis, and prevention, as well as identifying relevant biomarkers. During the past few years, a large number of deep learn...

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Detalles Bibliográficos
Autores principales: Yuan, Lin, Zhao, Jiawang, Shen, Zhen, Zhang, Qinhu, Geng, Yushui, Zheng, Chun-Hou, Huang, De-Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470932/
https://www.ncbi.nlm.nih.gov/pubmed/37651321
http://dx.doi.org/10.1371/journal.pcbi.1011344

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470932/
https://www.ncbi.nlm.nih.gov/pubmed/37651321
http://dx.doi.org/10.1371/journal.pcbi.1011344

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