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Table 1.

Statistical significance of protein pairs' functional coherence in Saccharomyces cerevisiae.

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Figure 1.

Functionally coherent modules from the Chen and Yuan [8] study.

(A) Module ID M1 and (B) Module ID M3.

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Table 2.

Functional modules evaluated using existing enrichment analysis tools in comparison with HMS.

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Table 3.

Percentage of significant (-value) and highly significant (-value) functionally coherent modules from Chen and Yuan [8] and CYS2008 [19].

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Figure 2.

Functional coherence analysis of protein complexes and pathways.

Functional coherence analysis of protein complexes from MIPS-curated [15], Ho [17], Gavin [18], and Krogan [16] as well as metabolic pathways from KEGG. Comparison between our HMS scoring, cosine similarity with different -value methods from [22], Jaccard similarity with different value methods from [22] and GS [23] methods. (A) Significant Modules (value0.05 and (B) Highly Significant Modules (value).

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Table 4.

HMS results for some KEGG metabolic pathways and MIPS protein complexes [22] classified as insignificant by Chagoyen et al. [22].

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Table 5.

Comparison of pair-wise semantic similarity metrics using functionally-associated and non-functional protein pairs.

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Table 6.

Skill metrics for Saccharomyces cerevisiae KEGG experiments.

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Table 7.

Skill metrics for Saccharomyces cerevisiae MIPS experiments.

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Table 8.

Consistency of multi-pathway genes across clusters that enrich the corressponding pathways.

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Figure 3.

Effect of different values of on the score.

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Figure 4.

Functional annotation and coherence of hierarchical modules.

The figure shows the overview of the methodology to assess functional coherence and assign annotation to hierarchical functional modules.

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Figure 5.

Overview of fuzzy reconstruction of hierarchical modularity.

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Figure 6.

An illustration of a hierarchical taxonomy over the set of functional annotation terms . (A) A DAG view. (B) A level set view.

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Figure 7.

Hierarchical functional annotation of a gene module for a gene set given the taxonomy in Figure 6.

(A) Functional annotation of genes in by unrelated term sets in . (B) A hierarchical gene module . (C) The resulting annotation of the internal (non-leaf) nodes in .

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Figure 8.

Illustration of penalization factor calculation.

(A) Hierarchical annotation of the functional module defined in Figure 7. (B) Dissimilarity score for a parent and a child .

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Figure 9.

Comparison between the three penalization factor functions considered.

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