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Table 2 Summary of the analytical approaches and choice of software for each group

From: Methods for interpreting lists of affected genes obtained in a DNA microarray experiment

Group

Analytical tool

Classa

Key statistical method

University of Cordoba, Spain [25]

ArrayUnlock [31]

MEA

Hypergeometric; Chi Square-test

 

Ingenuity Pathway Analysis [32]

SEA

Fisher's exact test

Institute for Animal Health, Compton, UK [27]

MAPPFinder/GenMAPP [14, 33, 34]

SEA

Z-score; Hypergeometric

Aarhus University, Denmark [24]

LIMMA [35]

SEA

Wilcoxon

 

TopGO [30]

MEA

Fisher's exact test; Kolmogorov Smirnoff

 

Globaltest [36]

GSEA

Global test

 

GIST [37]

-

support vector machine classification; kernel principal components analysis

Animal Breeding and Genomics Centre, Wageningen University, Wageningen, The Netherlands [23]

AnnotationDbi [38]

-

-

 

GOstats [39]

SEA

Hypergeometric

Animal Breeding and Genomics Centre, Animal Sciences Group, Lelystad, The Netherlands [28]

Globaltest [36]

GSEA

Global test

 

GOEAST [40]

SEA

Fisher's exact; Hypergeometric; Chi Square-test

INRA, Toulouse and Rennes [26]

GOTM [41]

SEA, GSEA

Hypergeometric

 

Pathway Studio [42]

-

Subnetwork Enrichment Analysis (SNEA), one-sided Mann-Whitney U-Test

 

Ingenuity Pathway Analysis [32]

SEA

Fisher's exact test

  1. a SEA, singular enrichment analysis; GSEA, gene set enrichment analysis; MEA, modular enrichment analysis, as suggested by Huang et al [15]