DysPIA (version 1.3)

calEdgeCorScore_ESEA: calEdgeCorScore_ESE

Description

Calculates differential Mutual information.

Usage

calEdgeCorScore_ESEA(
  dataset,
  class.labels,
  controlcharacter,
  casecharacter,
  background
)

Arguments

dataset

Matrix of gene expression values (rownames are genes, columnnames are samples).

class.labels

Vector of binary labels.

controlcharacter

Charactor of control in the class labels.

casecharacter

Charactor of case in the class labels.

background

Matrix of the edges' background.

Value

A vector of the aberrant correlation in phenotype P based on mutual information (MI) for each edge.

Examples

# NOT RUN {
data(gene_expression_p53, class.labels_p53,sample_background)
ESEAscore_p53<-calEdgeCorScore_ESEA(gene_expression_p53, class.labels_p53,
 "WT", "MUT", sample_background)

# }