Title | FastKM: A fast multiple-kernel method based on a low-rank approximation (R). |
Publication Type | Software |
Year of Publication | 2015 |
Authors | Marceau, Rachel, Wenbin Lu, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, Jung-Ying Tzeng, and Shannon T. Holloway |
Version | 1.0 |
Abstract | A computationally efficient and statistically rigorous fast Kernel Machine method for multi-kernel analysis. The approach is based on a low-rank approximation to the nuisance effect kernel matrices. The algorithm is applicable to continuous, binary, and survival traits and is implemented using the existing single-kernel analysis software 'SKAT' and 'coxKM'. 'coxKM' can be obtained from http://www.hsph.harvard.edu/xlin/software.html. |
Original Publication | FastKM: A fast multiple-kernel method based on a low-rank approximation (R). |
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