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Evaluation of clustering algorithms for protein-protein interaction networks

BMC Bioinformatics · 2006 · Vol. 7(1) · pp. 488–488
Sylvain BrohéeJacques van Helden

Abstract

This analysis shows that MCL is remarkably robust to graph alterations. In the tests of robustness, RNSC is more sensitive to edge deletion but less sensitive to the use of suboptimal parameter values. The other two algorithms are clearly weaker under most conditions. The analysis of high-throughput data supports the superiority of MCL for the extraction of complexes from interaction networks.

Bioinformatics and Genomic NetworksFungal and yeast genetics researchBiotin and Related StudiesInteractomeCluster analysisComputer scienceFalse positive paradoxPairwise comparisonData miningAlgorithmGraphRobustness (evolution)Theoretical computer science

MeSH terms

AlgorithmsComputer GraphicsMarkov ChainsProtein BindingSoftware ValidationMass SpectrometryCluster AnalysisComputational BiologyTwo-Hybrid System TechniquesProtein Interaction MappingSaccharomyces cerevisiae ProteinsDatabases, Protein

Funding

  • Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture
Citations
902
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References
Hierarchical organization in complex networks
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 2003 · 2,152 citations
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