modulePhenotypeCorrelations

Description

Computes the relation between the modules and the phenotypes.

Usage

modulePhenotypeCorrelations(pnet, phenotypes)

Arguments

Value

returns a matrix of correlations between modules and phenotypes.

Author(s)

David L Gibbs

Examples

data(ProCoNA_Data)
#net1 <- buildProconaNetwork("peptide network", peptideData, pow=13)
n <- length(samples(net1))
phenotypes <- matrix(rnorm(10*n), nrow=60)
m <- modulePhenotypeCorrelations(net1, phenotypes)

# To plot the heatmap: 
# moduleCors <- correlationWithPhenotypesHeatMap(net1, phenotypes, modules = 1:5, 
#    plot = NULL, title = "Module-trait relationships", textSize = 0.5)