CGHregions: Dimension Reduction for Array CGH Data with Minimal Information Loss

An algorithm to reduce multi-sample array CGH data from thousands of clones to tens or hundreds of clone regions is 63-1561 k&n introduced.This reduction of the data is performed such that little information is lost, which is possible due to the high dependencies between neighboring clones.The algorithm is explained using a small example.The potential beneficial effects of the algorithm for downstream analysis are illustrated by re-analysis of previously published colorectal cancer data.

Using multiple testing corrections suitable for these data, we provide statistical bismarck armb?nd evidence for genomic differences on several clone regions between MSI+ and CIN+ tumors.The algorithm, named CGHregions, is available as an easy-to-use script in R.

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