Description Usage Arguments Value Author(s) See Also Examples
This function generate a sample-by-component matrix representing the sum of posterior probabilities of each copy-number event being assigned to each component.
1 2 | cnv_generateSbCMatrix(CN_features, all_components = NULL, cores = 1,
rowIter = 1000)
|
CN_features |
a |
all_components |
a |
cores |
number of compute cores to run this task.
You can use |
rowIter |
step size of iteration for rows of ech CNV feature |
a numeric sample-by-component matrix
Geoffrey Macintyre, Shixiang Wang
Other CNV analysis functions: cnv_autoCaptureSignatures
,
cnv_chooseSigNumber
,
cnv_derivefeatures
,
cnv_extractSignatures
,
cnv_fitMixModels
,
cnv_getLengthFraction
,
cnv_pipe
,
cnv_plotDistributionProfile
,
cnv_plotFeatureDistribution
,
cnv_plotMixComponents
,
cnv_plotSignatures
,
cnv_quantifySigExposure
,
cnv_readprofile
1 2 3 4 5 6 7 8 9 10 11 | ## Not run:
## load example copy-number data from tcga
load(system.file("inst/extdata", "example_cn_list.RData", package = "VSHunter"))
## generate copy-number features
tcga_features = cnv_derivefeatures(CN_data = tcga_segTabs, cores = 1, genome_build = "hg19")
## fit mixture model (this will take some time)
tcga_components = cnv_fitMixModels(CN_features = tcga_features, cores = 1)
## generate a sample-by-component matrix
tcga_sample_component_matrix = cnv_generateSbCMatrix(tcga_features, tcga_components, cores = 1)
## End(Not run)
|
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