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Visualize motif frequencies and their statistical significance.
# S3 method for cograph_motifs plot( x, type = c("bar", "heatmap", "network"), show_nonsig = FALSE, top_n = NULL, colors = c("#2166AC", "#F7F7F7", "#B2182B"), ... )
A ggplot2 object (invisibly)
A cograph_motifs object from motif_census()
cograph_motifs
motif_census()
Plot type: "bar" (default), "heatmap", or "network"
Show non-significant motifs? Default FALSE
Show only top N motifs by |z-score|. Default NULL (all)
Colors for under/neutral/over-represented. Default blue/gray/red.
Additional arguments passed to plotting functions
motif_census() for the analysis that produces this object
Other motifs: extract_motifs(), extract_triads(), get_edge_list(), motif_census(), motifs(), plot.cograph_motif_analysis(), subgraphs(), triad_census()
extract_motifs()
extract_triads()
get_edge_list()
motifs()
plot.cograph_motif_analysis()
subgraphs()
triad_census()
mat <- matrix(sample(0:1, 100, replace = TRUE, prob = c(0.7, 0.3)), 10, 10) diag(mat) <- 0 m <- motif_census(mat, directed = TRUE, n_random = 50) plot(m) plot(m, type = "network")
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