GAIA is an algorithms aimed at the identification of Copy Number Alterations (CNA) shared among a cohort of subjects. GAIA uses aCGH data to assess the statistical significance of CNA so that targets of further biological investigations can be identified.
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Morganella, S., Pagnotta, S. M. and Ceccarelli, M. (2011) ‘Finding recurrent copy number alterations preserving within-sample homogeneity’, Bioinformatics (Oxford, England), 27(21), pp. 2949–2956. doi: 10.1093/bioinformatics/btr488.