First we load the data. To do this vignette you can load the data available in this package
library(AligNet) data(dme) data(sce) data("dme-dme") data("sce-sce") data("dme-sce")
Once we have the data loaded, we can compute the clusters
clusters.dme = extract.clusters(dme, cluster.network(dme.dme,0.2,20)) clusters.sce = extract.clusters(sce, cluster.network(sce.sce,0.2,20))
And with clusters, we can compute the local and the global alignment
all = internal[[1]] global = internal[[2]][[2]]
all = align.local.all(clusters.dme, clusters.sce, dme.sce, 0) global = align.global(all,dme.sce)
Finally with the alignments we compute the scores
EC.score(global, dme, sce) data(go) FC.score(global, go)
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