A classification model for distinguishing copy number variants from cancer-related alterations |
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| Authors: | Irina Ostrovnaya Gouri Nanjangud Adam B Olshen |
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| Affiliation: | (1) Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA;(2) Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA, USA;(3) Department of Epidemiology and Biostatistics and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA |
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| Abstract: | Background Both somatic copy number alterations (CNAs) and germline copy number variants (CNVs) that are prevalent in healthy individuals
can appear as recurrent changes in comparative genomic hybridization (CGH) analyses of tumors. In order to identify important
cancer genes CNAs and CNVs must be distinguished. Although the Database of Genomic Variants (DGV) contains a list of all known
CNVs, there is no standard methodology to use the database effectively. |
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