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RBGL: R interface to boost graph library

RBGL: R interface to boost graph library

zow_hdax_hboz_hfoo_cppyow_hbar_cppzag_cppfoo_obar_ozig_cpplibfoobar_azag_ozig_olibzigzag_akillerappFigure 2: File dependency digraph example from Boost library.2 Working with the Bioconductor graph classAn example object representing file dependencies is included, as shown in Figure 2.> data(FileDep)> FileDepA graphNEL graph with directed edgesNumber of Nodes = 15Number of Edges = 194

a) DFS Exampleb) DFS Example with search orderu6vw3 4yz1 5x2Figure 3: a) The graph for depth-first-search example. b) The graph for depth-firstsearchexample, showing search orders.3 Algorithms from BGL3.1 Depth First SearchThe dfs function returns two vectors of node names of discovery and finish order in adepth-first-search (DFS), starting at the given vertex.> df print(dfs.res

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