getSegChr.CBS: Perform circular binary segmentation by chromosome

Description Usage Arguments Value Author(s) See Also Examples

View source: R/getSegChr.CBS.R

Description

This function performs CBS on B-allele freqeuncies and logR ratios on one chromosome for all the samples and returns merged break points generated by the two datasets.

Usage

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getSegChr.CBS(bb.chr = NULL, ll.chr = NULL, sam.col=5, 
control=TRUE, thr.hets=0.1, data.type = 'copy',
controlOne=0,nt=FALSE)

Arguments

bb.chr

numeric matrix, original B-allele frequency for a given chromosome for all samples.

ll.chr

numeric matrix, original logR ratio for a given chromosome for all samples.

sam.col

the index of the column in BAF or LRR files where the first sample starts

control

If TRUE, each tumor sample is paired with normal immediately after it. The columns of the data file is organized : sample_1, control_1, sample_2, control_2 .... If FALSE, each sample serves the control of itself.

thr.hets

lower threshold of calling homozygous markers. BAF<=thr.hets or BAF>=1-thr.hets are considered homozygous.

data.type

character string chosen from c('copy', 'log'). If 'copy', the value for LRR markers represent the copy number of SNPs. If 'log', the value is log2 based copy number intensity.

controlOne

default NA. If assigned, must be an integer number indicating the index of one control sample in the sample list. This control will be used for all the samples.

nt

logic, if TRUE, multi-thread processing will be used. Require R package multicore. Not supported on Windows system.

Value

a matrix containing the following columns: chromosome, start position, end position, median LRR value, number of LRR markers, folded BAF value, number of germline heterozygous BAF markers, with row names being sample ID.

Author(s)

Bo Li

See Also

getSeg

Examples

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data(A0SD.BAF)
data(A0SD.LRR)
CHR=8
chr8.baf=A0SD.BAF[which(A0SD.BAF[,2]==CHR),]
chr8.lrr=A0SD.LRR[which(A0SD.LRR[,2]==CHR),]
dd=getSegChr.CBS(chr8.baf,chr8.lrr)
print(dd[1:4,])

CHAT documentation built on May 29, 2017, 10:32 p.m.