Description Usage Arguments Value Author(s) See Also Examples
This function returns an object of PatCNVData-class
.
1 2 3 4 | computeMultiCNV(session.name, data.name = NULL, sample.type = NULL,
ref.type = "average.pattern", episl = 1,
small.delta = 1e-05, bin.size = 10,
zero.median.adjust = TRUE, is.verbose = FALSE)
|
session.name |
an object of |
data.name |
an object of |
sample.type |
a character vector containing sample types. A value of NULL instructs the function to select all the types |
ref.type |
"average.pattern" or "basic.paired". "average.pattern" instructs function make CNV calls using trained pattern files. "basic.paired" instructs function make CNV calls using paired normal/Germline sample. |
episl |
a small value adding to coverage to avoid doing log-transform on zero |
small.delta |
a small value |
bin.size |
numeric value of exon-level bin-size |
zero.median.adjust |
logical value indicating if computed CNV should be adjusted to have zero median |
is.verbose |
logical value indicating if the progress information is printed |
an object of PatCNVSession-class
, with CNV log2-ratio computed
Chen Wang
Scan exome coverage of multiple samples scanMultiCovg
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | #==========================================================
#=== load a simulation example with generated pattern files
#==========================================================
config.filename <- "sim2.ini"
makeSimulation(config.filename,with.pattern=TRUE)
sim.session <- createSession(config.filename)
#=== print session information
summary(sim.session)
#=== compute CNV and generate heatmap of selected genes
germline.data <- computeMultiCNV(sim.session)
plotGeneHeatmap(data.name=germline.data,
sel.gene.name=c("NAGA","ARFGAP3","CYB5R3","POLR3H","FAM109B"))
|
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