dataset

class.labels

controlcharactor

Results


  The example data in the environment variable of the system.


file

ExampleData

The package can identify the dysregulated canonical pathways by investigating the changes of biological relationships of pathways in the context of gene expression data. (1) The ESEA package constructs a background set of edges by extracting pathway structure (e.g. interaction, regulation, modification, and binding etc.) from the seven public databases (KEGG; Reactome; Biocarta; NCI; SPIKE; HumanCyc; Panther) and the edge sets of pathways for each of the above databases. (2) The ESEA package can can quantify the change of correlation between genes for each edge based on gene expression data with cases and controls. (3) The ESEA package uses the weighted Kolmogorov-Smirnov statistic to calculate an edge enrichment score (EES), which reflects the degree to which a given pathway is associated the specific phenotype. (4) The ESEA package can provide the visualization of the results.

Xinrui Shi

ESEA

ESEA: Discovering the Dysregulated Pathways based on Edge Set
Enrichment Analysis

ExampleData function

Format

The example data in the environment variable of the system

ExampleData: The example data in the environment variable of the system

Description

Arguments

Format

Details