plot_enrichment_analysis: Plot enrichment analysis of ordered verticies.

In cnobles/spraphal: Sparse Graph-based Analysis

Description

Plot enrichment analysis of ordered verticies.

Usage

plot_enrichment_analysis(v, G, d = 50, f = 100, e = NULL, bLim = 10,
  critVal = 0.05, exact = TRUE, ...)

Arguments

v	vector of vertex identifiers. All vertex identifiers need to be present in the graph G.
G	igraph object of which v vertices are a part of and is considered the background for enrichment analysis.
d	delta distance between analysis points. Default 50.
f	forward distance for extended analysis. Default 100.
e	edge distance for which to consider, from the beginning. Default d.
bLim	bottom limit for significance value, positive log of p-value. ie. 10 -> minimum p-value of 10^-10 plotted.
critVal	critical value for which to consider significance. Default 0.05. #' @param exact logical. If TRUE, the approximation of the probability is calculated rather than approximated by 'ppois()'.
...	arguments to be passed into ggplot.

Author(s)

Christopher Nobles, Ph.D.

cnobles/spraphal documentation built on May 28, 2019, 7:35 p.m.