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Detecting significant single-nucleotide polymorphisms in a rheumatoid arthritis study using random forests

1 Dec 2009

Abstract excerpt

Random forest is an efficient approach for investigating not only the effects of individual markers on a trait but also the effect of the interactions among the markers in genetic association studies. This approach is especially appealing for the analysis of genome-wide data, such as those obtained from gene expression/single-nucleotide polymorphism (SNP) array experiments in which the number of candidate...

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PMID: 20018063
DOI: 10.1186/1753-6561-3-s7-s69

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