Description Usage Arguments Details Value References See Also Examples
This function performs backward elimination procedure after SBL segmentation for a collection of samples.
1 2 3 4 5 6 7 8 |
x |
an object of class 'parGADA' obtained using 'setupParGADAIllumina' or 'setupParGADAaffy' functions |
Samples |
the samples to be analyzed |
T |
critical value of the backward elimination algorithm (see 'BackwardElimination' function) |
MinSegLen |
minimum number of probes each segment must contain (see 'BackwardElimination' function) |
verbose |
is information about each individual showed in the console? Default is TRUE |
object |
an object of class 'parGADA' or 'summaryParGADA' |
... |
other arguments passed through the function 'BackwardElimination' |
This function calls repeteadly to function 'BackwardElimination' after being used the function 'parSBL' to obtain all segments for each sample. It can be parallelized when multiple processors are available. This has been implemented using 'snow' package: http://www.sfu.ca/sblay/R/snow.html. See vignettes for further details
This function saves the segments for each sample in a directory called SBL
Pique-Regi R, Caceres A, Gonzalez JR. "R-Gada: a package for fast detection and visualization of copy number alterations on multiple samples", BMC Bioinformatics , Submitted Nov 2009
parSBL
, setupParGADAIllumina
, setupParGADAaffy
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | ## Not run:
###
### First step (required)
###
# Read data
# a folder called rawData containing a file for each individual is required
# Illumina data
myExample<-setupParGADAIllumina(log2ratioCol=4, NumCols=5)
# Affymetrix data
myExample<-setupParGADAaffy(log2ratioCol=4, NumCols=5)
###
### Second step
###
# segmentation for all samples
parSBL(myExample, estim.sigma2=TRUE, aAlpha=0.8)
parBE(myExample,T=8, MinSegLen=8)
## End(Not run)
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