Open Access Highly Accessed Research article

SNP interaction detection with Random Forests in high-dimensional genetic data

Stacey J Winham1*, Colin L Colby1, Robert R Freimuth1, Xin Wang1, Mariza de Andrade1, Marianne Huebner12 and Joanna M Biernacka13*

Author Affiliations

1 Department of Health Sciences Research, Mayo Clinic, 200 First Street Southwest, Rochester, MN, 55905, USA

2 Department of Statistics and Probability, Michigan State University, A413 Wells Hall, East Lansing, MI, 48824, USA

3 Department of Psychiatry and Psychology, Mayo Clinic, 200 First Street Southwest, Rochester, MN, 55905, USA

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BMC Bioinformatics 2012, 13:164  doi:10.1186/1471-2105-13-164

Published: 15 July 2012

Additional files

Additional file 1:

Supplementary information, preliminary simulations to select tuning parameters. Descriptions and results of parameter sweeps to determine optimal values of the tuning parameters mtry and ntree to minimize prediction error and maximize power [13,15].

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Additional file 2:

Supplementary information, simulations 1–3. Additional descriptions and results for Simulations 1–3 [36-38].

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