A Fast Multiple-Kernel Method Based on a Low-Rank Approximation
Description
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
.