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SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets
Authors:Carmen Lai  Hugo M Horlings  Marc J van de Vijver  Eric H van Beers  Petra M Nederlof  Lodewyk FA Wessels  Marcel JT Reinders
Affiliation:(1) Bioinformatics group, Delft University, Delft, The Netherlands;(2) The Netherlands Cancer Institute, Amsterdam, The Netherlands
Abstract:

Background  

Array comparative genome hybridization (aCGH) provides information about genomic aberrations. Alterations in the DNA copy number may cause the cell to malfunction, leading to cancer. Therefore, the identification of DNA amplifications or deletions across tumors may reveal key genes involved in cancer and improve our understanding of the underlying biological processes associated with the disease.
Keywords:
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