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Open AccessIdentifying multi-hit carcinogenic gene combinations: Scaling up a weighted set cover algorithm using compressed binary matrix representation on a GPU
Despite decades of research, effective treatments for most cancers remain elusive. One reason is that different instances of cancer result from different combinations of multiple genetic mutations (hits). Ther...
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Open AccessAuthor Correction: Differentiating between cancer and normal tissue samples using multi-hit combinations of genetic mutations
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Article
Open AccessDifferentiating between cancer and normal tissue samples using multi-hit combinations of genetic mutations
Cancer is known to result from a combination of a small number of genetic defects. However, the specific combinations of mutations responsible for the vast majority of cancers have not been identified. Current...