Ranking causal variants and associated regions in genome-wide association studies by the support vector machine and random forest

We study the number of causal variants and associated regions identified by top SNPs in rankings given by the popular 1 df chi-squared statistic, support vector machine (SVM) and the random forest (RF) on simulated and real data. If we apply the SVM and RF to the top 2r chi-square-ranked SNPs, where...

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Detalles Bibliográficos
Autores principales: Roshan, Usman, Chikkagoudar, Satish, Wei, Zhi, Wang, Kai, Hakonarson, Hakon
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3089490/
https://www.ncbi.nlm.nih.gov/pubmed/21317188
http://dx.doi.org/10.1093/nar/gkr064

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3089490/
https://www.ncbi.nlm.nih.gov/pubmed/21317188
http://dx.doi.org/10.1093/nar/gkr064

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