Identifying potential association on gene-disease network via dual hypergraph regularized least squares

BACKGROUND: Identifying potential associations between genes and diseases via biomedical experiments must be the time-consuming and expensive research works. The computational technologies based on machine learning models have been widely utilized to explore genetic information related to complex di...

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Detalles Bibliográficos
Autores principales: Yang, Hongpeng, Ding, Yijie, Tang, Jijun, Guo, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351363/
https://www.ncbi.nlm.nih.gov/pubmed/34372777
http://dx.doi.org/10.1186/s12864-021-07864-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351363/
https://www.ncbi.nlm.nih.gov/pubmed/34372777
http://dx.doi.org/10.1186/s12864-021-07864-z

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