CNVScope (version 2.9.2)

calcCNVKernelProbDist: Calculate the probability distribution of CNV concordance events with a fast kernel

Description

This function produces several matrices, including a Z-score matrix from a matrix of the same size and a percentile matrix of these Z-scores

Arguments

submatrix

A matrix of CNV data in an intrachromosomal region (e.g. chr1 vs chr1 or chr5 vs chr5)

win

a window size for the matrix that calculates the windowed average using the kernel function

debug

extra output for debugging.

parallel

use parallelization using mcmapply and doParallel?

mcmcores

The number of cores used for parallelization.

Examples

# NOT RUN {
load(system.file("extdata","nbl_result_matrix_sign_small.rda",package = "CNVScope"))
mat_prob_dist<-calcCNVKernelProbDist(nbl_result_matrix_sign_small,parallel=FALSE)
mat_prob_dist
# }