GenRev is a Python software package that identifies subnetworks for a set of genes from a large network. Three algorithms are implemented in GenRev, the Klein-Ravi algorithm for node weighted Steiner tree problem, the limited k-walk algorithm and a heuristic local search algorithm. Each algorithm is implemented in an independent module. Another analysis module is also developed for graph clustering and gene ranking.
Bioinformatics and Systems Medicine Laboratory, Vanderbilt University
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Zheng S, Zhao Z (2012)
GenRev: exploring functional relevance of genes in molecular networks.