Article
Identification of co-occurring insertions in cancer genomes using association analysis.
International journal of data mining and bioinformatics - 1 Jan 2014
Steinbach Michael, Landman Sean, Kumar Vipin, Yu Haoyu
Abstract excerpt
Collections of tumor genomes created by insertional mutagenesis experiments, e.g., the Retroviral Tagged Cancer Gene Database (RTCGD), can be analysed to find connections between mutations of specific genes and cancer. Such connections are found by identifying the locations of insertions or groups of insertions that frequently occur in the collection of tumor genomes. Recent work has employed a kernel density...
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