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. 2011 Sep 1:12:360.
doi: 10.1186/1471-2105-12-360.

GO-based functional dissimilarity of gene sets

Affiliations

GO-based functional dissimilarity of gene sets

Norberto Díaz-Díaz et al. BMC Bioinformatics. .

Abstract

Background: The Gene Ontology (GO) provides a controlled vocabulary for describing the functions of genes and can be used to evaluate the functional coherence of gene sets. Many functional coherence measures consider each pair of gene functions in a set and produce an output based on all pairwise distances. A single gene can encode multiple proteins that may differ in function. For each functionality, other proteins that exhibit the same activity may also participate. Therefore, an identification of the most common function for all of the genes involved in a biological process is important in evaluating the functional similarity of groups of genes and a quantification of functional coherence can helps to clarify the role of a group of genes working together.

Results: To implement this approach to functional assessment, we present GFD (GO-based Functional Dissimilarity), a novel dissimilarity measure for evaluating groups of genes based on the most relevant functions of the whole set. The measure assigns a numerical value to the gene set for each of the three GO sub-ontologies.

Conclusions: Results show that GFD performs robustly when applied to gene set of known functionality (extracted from KEGG). It performs particularly well on randomly generated gene sets. An ROC analysis reveals that the performance of GFD in evaluating the functional dissimilarity of gene sets is very satisfactory. A comparative analysis against other functional measures, such as GS2 and those presented by Resnik and Wang, also demonstrates the robustness of GFD.

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Figures

Figure 1
Figure 1
Overall scheme of the method. Overall scheme of the method used to calculate the gene-set functional dissimilarity measure GFD. The first three steps are used for all three ontologies. The last two steps are only illustrated for the Biological Process ontology.
Figure 2
Figure 2
ROC Analysis. ROC analysis for the GFD, GS2, Wang and Resnik approaches, as applied to each of three GO ontologies.The area under the ROC curve is indicated in brackets.

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