View source: R/Functions.GenomicScars.R
calc.lst | R Documentation |
This function implements Popova's LST measure as described (Popova 2012, Cancer research) Popova's cutoffs: 15 LSTs in near-diploid, 20 in near-tetraploid. This functions generally rely on ASCAT or similarly processed copy number data, in a matrix format with at least the follwing columns in this exact order: "SampleID", "Chromosome", "Start", "End", "nProbes", "totalCN", "nA", "nB", "Ploidy" and "AberrantCellFraction". NOTE: currently the chrominfo data refers to hg19, while hg38 is not yet supported.
calc.lst(
seg,
chrominfo = chrominfo.snp6,
nA = 7,
check.names = FALSE,
return.loc = FALSE,
chr.arm = "no"
)
seg |
seg must be an ASCAT output object, in DNAcopy format. Requires the following columns in the given order: "SampleID", "Chromosome", "Start", "End", "nProbes", "totalCN", "nA", "nB", "Ploidy" and "AberrantCellFraction". Column "nProbes" is not used here and can be set to NA. |
nA |
is the column where copy number of A allele is found. This needs to be set to 7, because of the columns are referenced by position according to the required column order of seg. |
Nicolai Juul Birkbak, njuul@cbs.dtu.dk
Popova, T., Manié, E., Rieunier, G., Caux-Moncoutier, V., Tirapo, C., Dubois, T., ... Stern, M. H. (2012). Ploidy and large-scale genomic instability consistently identify basal-like breast carcinomas with BRCA1/2 inactivation. Cancer Research, 72(21), 5454–5462. https://doi.org/10.1158/0008-5472.CAN-12-1470
res <- calc.lst(seg)
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