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Table 2 Overview of self-contained gene set and pathway methods

From: Harnessing the complexity of gene expression data from cancer: from single gene to structural pathway methods

Principle Method

Reference

Software

Average of single-gene statistics

[79]

sigPathway

Linear Model Toolset for GSEA

[80]

GSEAlm

SAM-GS

[81]

 

Globaltest

[82]

globaltest

GlobalANCOVA

[83]

GlobalAncova

Hotelling’s T2

[84–87]

PCOT2

N-statistic

[88]

cramer

RCMAT

[89]

 

Non-linear tests for identifying differentially expressed genes or genetic networks

[87]

 

Pathway-express

[90]

 

Signaling Pathway Impact Analysis

[91]

SPIA (Bioconductor)

SEPEA

[92]

 

PARADIGM

[93]

 

Gene set analysis exploiting the topology of a pathway

[94]

IPS (available upon request)