An integrated approach to reduce the impact of minor allele frequency and linkage disequilibrium on variable importance measures for genome-wide data

Motivation: There is growing momentum to develop statistical learning (SL) methods as an alternative to conventional genome-wide association studies (GWAS). Methods such as random forests (RF) and gradient boosting machine (GBM) result in variable importance measures that indicate how well each sing...

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Hlavní autoři: Walters, Raymond, Laurin, Charles, Lubke, Gitta H.
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2012
Témata:
Original Papers
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3467741/
https://ncbi.nlm.nih.gov/pubmed/22847933
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bts483
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