Detecting gene-gene interactions using a permutation-based random forest method

BACKGROUND: Identifying gene-gene interactions is essential to understand disease susceptibility and to detect genetic architectures underlying complex diseases. Here, we aimed at developing a permutation-based methodology relying on a machine learning method, random forest (RF), to detect gene-gene...

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Detalles Bibliográficos
Autores principales: Li, Jing, Malley, James D., Andrew, Angeline S., Karagas, Margaret R., Moore, Jason H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4822295/
https://www.ncbi.nlm.nih.gov/pubmed/27053949
http://dx.doi.org/10.1186/s13040-016-0093-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4822295/
https://www.ncbi.nlm.nih.gov/pubmed/27053949
http://dx.doi.org/10.1186/s13040-016-0093-5

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