comp_enrichment: Calculate the enrichment within an ordered list of verticies.
In cnobles/spraphal: Sparse Graph-based Analysis
Description
Usage
Arguments
Author(s)
Description
Calculate the enrichment within an ordered list of verticies.
Usage
1
comp_enrichment(v, G, d = 50, f = 100, e = NULL, exact = TRUE)
Arguments
v
vector of vertex identifiers. Vertices must be present in graph G.
G
igraph object representing the graph and including vertices from v.
d
delta or change distance for which to look for enrichment. Default
20.
f
forward threshold for reference enrichment. Default 100.
e
edge window to consider at the beginning. If not specified, the
default value will be equal to the delta 'd'.
exact
logical. If TRUE, the approximation of the probability is
calculated rather than approximated by 'ppois()'.
Author(s)
Christopher Nobles, Ph.D.
cnobles/spraphal documentation built on May 28, 2019, 7:35 p.m.
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Description Usage Arguments Author(s)
Description
Calculate the enrichment within an ordered list of verticies.
Usage
1 | comp_enrichment(v, G, d = 50, f = 100, e = NULL, exact = TRUE)
|
Arguments
v |
vector of vertex identifiers. Vertices must be present in graph G. |
G |
igraph object representing the graph and including vertices from v. |
d |
delta or change distance for which to look for enrichment. Default 20. |
f |
forward threshold for reference enrichment. Default 100. |
e |
edge window to consider at the beginning. If not specified, the default value will be equal to the delta 'd'. |
exact |
logical. If TRUE, the approximation of the probability is calculated rather than approximated by 'ppois()'. |
Author(s)
Christopher Nobles, Ph.D.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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