Issue No. 03 - March (2012 vol. 45)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2012.71
Fabio Vandin , Brown University
Eli Upfal , Brown University
Benjamin J. Raphael , Brown University
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.
computational biology, bioinformatics, genome sequencing, cancer genomics, networks, diffusion processes, Markov chain Monte Carlo
E. Upfal, F. Vandin and B. J. Raphael, "Algorithms and Genome Sequencing: Identifying Driver Pathways in Cancer," in Computer, vol. 45, no. , pp. 39-46, 2012.