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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| 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 |