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Issue No. 03 - March (2012 vol. 45)
ISSN: 0018-9162
pp: 39-46
Eli Upfal , Brown University
Fabio Vandin , Brown University
Benjamin J. Raphael , Brown University
ABSTRACT
Two proposed algorithms predict which combinations of mutations in cancer genomes are priorities for experimental study. One relies on interaction network data to identify recurrently mutated sets of genes, while the other searches for groups of mutations that exhibit specific combinatorial properties.
INDEX TERMS
computational biology, bioinformatics, genome sequencing, cancer genomics, networks, diffusion processes, Markov chain Monte Carlo
CITATION
Eli Upfal, Fabio Vandin, Benjamin J. Raphael, "Algorithms and Genome Sequencing: Identifying Driver Pathways in Cancer", Computer, vol. 45, no. , pp. 39-46, March 2012, doi:10.1109/MC.2012.71
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