calEdgeCorScore_ESEA: calEdgeCorScore_ESE

In DysPIA: Dysregulated Pathway Identification Analysis

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

data(gene_expression_p53, class.labels_p53,sample_background)
ESEAscore_p53<-calEdgeCorScore_ESEA(gene_expression_p53, class.labels_p53,
 "WT", "MUT", sample_background)

DysPIA documentation built on July 10, 2020, 9:06 a.m.