HIT'nDRIVE aims to solve the 'random walk facility location' (RWFL) problem in a gene (or protein) interaction network, which differs from the standard facility location problem by its use of an alternative distance measure: 'multihitting time,' the expected length of the shortest random walk from any one of the set of sequence-altered genes to an expression-altered target gene. Here we introduce HIT'nDRIVE, a computational method that integrates genomic and transcriptomic data to identify a set of patient-specific, sequence-altered genes, with sufficient collective influence over dysregulated transcripts. Prioritizing molecular alterations that act as drivers of cancer remains a crucial bottleneck in therapeutic development. 9 School of Informatics and Computing, Indiana University, Bloomington, Indiana 47408, USA.8 Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada V5Z 1M9.7 Faculty of Information Technology, Monash University, Melbourne 3800, Australia.

6 Department of Information Engineering, University of Padova, 35131 Padova, Italy.5 National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA.4 Computer Laboratory, University of Cambridge, Cambridge CB3 0FD, United Kingdom.3 School of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6.2 Laboratory for Advanced Genome Analysis, Vancouver Prostate Centre, Vancouver, British Columbia, Canada V6H 3Z6.1 Bioinformatics Training Program, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4.

Ndrive maps 2017