article Open AccessTop 1% cited
Evaluation of clustering algorithms for protein-protein interaction networks
BMC Bioinformatics · 2006 · Vol. 7(1) · pp. 488–488
Sylvain Brohée✉(Université Libre de Bruxelles)Jacques van Helden(Université Libre de Bruxelles)
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
FWCI
15.75
field-weighted impact
References
44
Percentile
100%
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Citations per year
References
Hierarchical organization in complex networks
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 2003 · 2,152 citations
An automated method for finding molecular complexes in large protein interaction networks
BMC Bioinformatics · 2003 · 6,204 citations
Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
Genome Research · 2003 · 53,132 citations
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