sparkx.sk: Testing for single kernel with non-parametric framework
In xzhoulab/SPARK: Spatial Pattern Recognition via Kernels
sparkx.sk R Documentation
Testing for single kernel with non-parametric framework
Description
Testing for single kernel with non-parametric framework
Usage
sparkx.sk(counts, infomat, X_mat = NULL, mc_cores = 1, verbose = TRUE)
Arguments
counts:
A n x p gene expression matrix (sparseMatrix)
infomat:
A n x d location matrix
X_mat:
A n x c covariate matrix
mc_cores:
A integer specifying multiple threads
verbose:
A boolean value whether to print details, for debug purpose
Value
A data frame with stats and p values for all genes
xzhoulab/SPARK documentation built on Nov. 20, 2022, 2:54 p.m.
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| sparkx.sk | R Documentation |
Testing for single kernel with non-parametric framework
Description
Testing for single kernel with non-parametric framework
Usage
sparkx.sk(counts, infomat, X_mat = NULL, mc_cores = 1, verbose = TRUE)
Arguments
counts: |
A n x p gene expression matrix (sparseMatrix) |
infomat: |
A n x d location matrix |
X_mat: |
A n x c covariate matrix |
mc_cores: |
A integer specifying multiple threads |
verbose: |
A boolean value whether to print details, for debug purpose |
Value
A data frame with stats and p values for all genes
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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