An S4 class to represent a low-rank kernel for a SNPset at specified knots
An S4 class to represent a low-rank kernel for a SNPset at specified knots
This kernel is used for predictions. If observations and knots are
equal, better construct a full-rank kernel of class kernel.
typecharacter, kernel type: Use 'lin' for the linear kernel,
'sia' for the size-adjusted or 'net' for the network-based kernel.
kernelkernel matrix of dimension equal to individuals
pathwaypathway object
Juliane Manitz
data(gwas)
data(hsa04020)
square <- calc_kernel(gwas, hsa04020, knots=gwas, type='lin', calculation='cpu')
dim(square@kernel)
gwas2 <- new('GWASdata', pheno=pheno[1:10,], geno=geno[1:10,], anno=anno, desc="study 2")
low_rank <- calc_kernel(gwas, hsa04020, knots = gwas2, type='net', calculation='cpu')
dim(low_rank@kernel)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.