A high-throughput computational framework for identifying significant copy number aberrations from array comparative genomic hybridisation data.

We refer to this process as applying adaptive thresholds (AT), an approach that enables identification of lower prevalence abnormalities that may nevertheless be highly significant in sample subgroups.

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Aligning the median aCGH plot (upper panel in Figure 2(a) ) with the frequency of recurrence across samples (middle panel in Figure 2(a) ) provides a useful method for readily identifying CNAs most likely to be significant.

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