File: kda2cytoscape.edges.Rd

package info (click to toggle)
r-bioc-mergeomics 1.34.0-2
  • links: PTS, VCS
  • area: main
  • in suites: sid, trixie
  • size: 9,200 kB
  • sloc: makefile: 4
file content (79 lines) | stat: -rw-r--r-- 2,396 bytes parent folder | download | duplicates (4)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
\name{kda2cytoscape.edges}
\alias{kda2cytoscape.edges}
\title{
Find edges of a given node with a specified depth
}
\description{
\code{kda2cytoscape.edges} finds the sub-graph (node and edge lists) of a 
central node and its neighborhood at a particular search depth. The central
node is a member of a module, which is defined at
\code{\link{kda2cytoscape.exec}}. 
}
\usage{
kda2cytoscape.edges(graph, center, depth, direction)
}
\arguments{
\item{graph}{
entire graph
}
\item{center}{
the node, whose interactions with neighbors will be searched within 
\code{graph}.
}
\item{depth}{
search depth for graph neighborhood 
}
\item{direction}{
edge direction. 0 for undirected, negative for downstream and positive 
for upstream
}
}
\value{
\item{g }{the sub-graph including TAIL, HEAD, WEIGHT information of the
central node, which belongs to the specified module.}
}
\examples{
## get the prepared and KDA applied dataset:(see kda.analyze for details)
data(job_kda_analyze)
## set the relevant parameters:
job.kda$label<-"HDLC"
## parent folder for results
job.kda$folder<-"Results"
## Input a network
## columns: TAIL HEAD WEIGHT
job.kda$netfile<-system.file("extdata","network.mouseliver.mouse.txt", 
package="Mergeomics")
## Gene sets derived from ModuleMerge, containing two columns, MODULE, 
## NODE, delimited by tab 
job.kda$modfile<- system.file("extdata","mergedModules.txt", 
package="Mergeomics")
## "0" means we do not consider edge weights while 1 is opposite.
job.kda$edgefactor<-0.0
## The searching depth for the KDA
job.kda$depth<-1
## 0 means we do not consider the directions of the regulatory interactions
## while 1 is opposite.
job.kda$direction <- 1

## Finish the KDA process
job.kda <- kda.finish(job.kda)
## Select a center node to seek its neighbors in the graph:
edges.of.center.node <- kda2cytoscape.edges(job.kda$graph, 1, 
job.kda$depth, job.kda$direction)

## remove the results folder
unlink("Results", recursive = TRUE)
}
\references{
Shu L, Zhao Y, Kurt Z, Byars SG, Tukiainen T, Kettunen J, Orozco LD, 
Pellegrini M, Lusis AJ, Ripatti S, Zhang B, Inouye M, Makinen V-P, Yang X.
Mergeomics: multidimensional data integration to identify pathogenic 
perturbations to biological systems. BMC genomics. 2016;17(1):874.
}
\author{
Zeyneb Kurt
}
\seealso{
\code{\link{kda2cytoscape}}
}