Heterogeneous Graph Convolutional Networks and Matrix Completion for miRNA-Disease Association Prediction

Due to the cost and complexity of biological experiments, many computational methods have been proposed to predict potential miRNA-disease associations by utilizing known miRNA-disease associations and other related information. However, there are some challenges for these computational methods. Fir...

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Detalles Bibliográficos
Autores principales: Zhu, Rongxiang, Ji, Chaojie, Wang, Yingying, Cai, Yunpeng, Wu, Hongyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7468400/
https://www.ncbi.nlm.nih.gov/pubmed/32974293
http://dx.doi.org/10.3389/fbioe.2020.00901

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7468400/
https://www.ncbi.nlm.nih.gov/pubmed/32974293
http://dx.doi.org/10.3389/fbioe.2020.00901

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