Similarity Kernel Computation

[Merlin2333]

Hello,

I was wondering if it makes sense to replace x_i vector of gene expression with some other lower dimension loadings (such as PCs) in the step of computing the similarity kernel K(x_i, x_j)? Essentially, I was worried that using gene expressions will suffer from the curse of dimensionality. Not sure if it make sense here, but I would appreciate it if you can provide some explanations.

Thanks!