sparkx.sksg: Testing for single gene with each kernel with non-parametric...
In xzhoulab/SPARK: Spatial Pattern Recognition via Kernels

sparkx.sksg

R Documentation

Testing for single gene with each kernel with non-parametric framework

Testing for single gene with each kernel with non-parametric framework

sparkx.sksg(
  igene,
  expmat,
  xmat,
  scaleinfo,
  numDim,
  lambda_K,
  loc_inv,
  verbose = TRUE
)

`igene:`	A gene index
`expmat:`	A n x p gene expression matrix (sparseMatrix)
`xmat:`	A n x c covariate matrix
`scaleinfo:`	A n x d matrix with centered coordinates
`numDim:`	A integer, the number of dimension of coordinates
`lambda_K:`	A d-vector of eigen values of kernel being tested
`loc_inv:`	A d x d matrix, the inverse of the inner product of the location matrix
`verbose:`	A boolean value whether to print details, for debug purpose