CGARS is designed to dissect random from non-random patterns in copy number data and thereby to assess significantly enriched somatic copy number aberrations across a set of tumor specimens or cell lines. In contrast to existing approaches, the method is invariant to any strictly monotonous transformation of the input data, which results to an insensitivity of differences in tumor purity, array saturation effects, and copy number baseline levels.
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Bioinformatics. 2014 May 1;30(9):1295-6. doi: 10.1093/bioinformatics/btu011. Epub 2014 Jan 9.
CGARS: cancer genome analysis by rank sums.
Lu X1, Thomas RK, Peifer M.