compute.gene.rank: Compute and rank TFs in network
In inferCSN: Inferring Cell-Specific Gene Regulatory Network
View source: R/compute.gene.rank.R
compute.gene.rank R Documentation
Compute and rank TFs in network
Description
Compute and rank TFs in network
Usage
compute.gene.rank(weightDT, directedGraph = FALSE)
Arguments
weightDT
The weight data table of network
directedGraph
If GRN is directed or not
Value
A data.table with three columns
Examples
library(inferCSN)
data("exampleMatrix")
weightDT <- inferCSN(exampleMatrix)
ranks <- compute.gene.rank(weightDT)
head(ranks)
inferCSN documentation built on Nov. 2, 2023, 6:27 p.m.
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View source: R/compute.gene.rank.R
| compute.gene.rank | R Documentation |
Compute and rank TFs in network
Description
Compute and rank TFs in network
Usage
compute.gene.rank(weightDT, directedGraph = FALSE)
Arguments
weightDT |
The weight data table of network |
directedGraph |
If GRN is directed or not |
Value
A data.table with three columns
Examples
library(inferCSN)
data("exampleMatrix")
weightDT <- inferCSN(exampleMatrix)
ranks <- compute.gene.rank(weightDT)
head(ranks)
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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