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