Description Usage Arguments Author(s) Examples
plot estimated integer copy numbers from absCNseq for each chromosome.
1 | plot.absCN(seg.data, chromnum = 1, rawdata = NULL, chromvar = "chrom", loc.start = "chr_start", loc.end = "chr_stop", normalized.ratio = "log2_ratio")
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seg.data |
A result data frame generated by the compute.absCN function. It has five mandatory columns: "chrom", "loc.start", "loc.end", "r", "CN". |
chromnum |
which chromosome to be plotted. Must be a number from 1 to 22 |
rawdata |
(optional): raw copy ratio data before segmentation. This data frame has four mandatory columns: chromosome number, start position, end position, and normalized copy ratio of tumor vs. normal sample on log2 scale (log2_ratio). The column names are provided by the user. Default column names are taken from the VARSCAN output. |
chromvar |
The variable name of the chromosome number column for the optional raw data. |
loc.start |
The variable name of the start position column for the optional raw data. |
loc.end |
The variable name of the end position column for the optional raw data. |
normalized.ratio |
The variable name of the log2_ratio column for the optional raw data. |
Lei Bao
1 2 3 4 | data("absCNseq", package="lxctk")
my.res.list <- run.absCNSeq(cn, snv, "myResult", "Sample1", seq.type="WES", min.seg.len=200)
seg.CN <- compute.absCN(my.res.list$seg.dat, my.res.list$searchRes[1,"alpha"], my.res.list$searchRes[1,"tau"]) # the top first solution
plot.absCN(seg.CN, chromnum=1) # plot chromosome 1
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