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####################################################################
## Author: Gro Nilsen, Knut Liestřl and Ole Christian Lingjćrde.
## Maintainer: Gro Nilsen <gronilse@ifi.uio.no>
## License: Artistic 2.0
## Part of the copynumber package
## Reference: Nilsen and Liestřl et al. (2012), BMC Genomics
####################################################################
##Function to get multisegment results on a unisegmentformat:
##Input:
### segments: a data frame with segmentation results
##Output:
### uni.segments: the segments converted to unisegmentsformats; i.e sampleId in first column, chrom in second, arms in third, start and end pos in fourth and fifth, number of pos in sixth and mean value in seventh
##Required by:
### checkSegments
##Requires:
### is.multiseg
getUnisegFormat <- function(segments){
#Check that the segments are really on a multiseg format first:
stopifnot(is.multiseg(segments))
nSample <- ncol(segments)-5
nSeg <- nrow(segments)
uni.segments <- as.data.frame(matrix(NA,ncol=7,nrow=0))
colnames(uni.segments) <- c("sampleID",colnames(segments)[1:5],"mean")
for(i in 1:nSample){
sampleID <- colnames(segments)[5+i]
sample.segments <- cbind(rep(sampleID,nSeg),segments[,c(1:5,(5+i))])
colnames(sample.segments) <- colnames(uni.segments)
uni.segments <- rbind(uni.segments,sample.segments,deparse.level=0)
}
return(uni.segments)
}
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