dhga (version 0.1)

WeightedGeneScore: 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

Examples

data(rice_normal)
beta=6
WeightedGeneScore(rice_normal, beta, plot=FALSE)