Identifying Disease-Gene Associations With Graph-Regularized Manifold Learning

Complex diseases are known to be associated with disease genes. Uncovering disease-gene associations is critical for diagnosis, treatment, and prevention of diseases. Computational algorithms which effectively predict candidate disease-gene associations prior to experimental proof can greatly reduce...

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Detalles Bibliográficos
Autores principales: Luo, Ping, Xiao, Qianghua, Wei, Pi-Jing, Liao, Bo, Wu, Fang-Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454152/
https://www.ncbi.nlm.nih.gov/pubmed/31001321
http://dx.doi.org/10.3389/fgene.2019.00270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454152/
https://www.ncbi.nlm.nih.gov/pubmed/31001321
http://dx.doi.org/10.3389/fgene.2019.00270

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