| WeightedGeneScore {dhga} | R Documentation |
Computation of weighted gene score of genes in Gene Co-expression Network
Description
The function computes the weighted gene scores of all genes in a Gene Co-expression Network
Usage
WeightedGeneScore(x, beta, plot=TRUE)Arguments
x |
x is a data frame of gene expression values where rows represent genes and columns represent samples/time points under a particular condition/stress/trait. |
beta |
beta is a soft threshold parameter determined from the scale free property of biological networks (Gene Co-expression Network). |
plot |
plot is a character must either take logical value TRUE/FALSE representing whether the plot of the gene connection degrees of all genes in Gene Co-expression Network needs to be constructed or not. |
Value
The function returns a vector of weighted gene scores of genes (nodes) in the Gene Co-expression Network along with the gene connectivity plot.
Author(s)
Samarendra Das and Baidya Nath Mandal
Examples
data(rice_normal)
beta=6
WeightedGeneScore(rice_normal, beta, plot=FALSE)