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Figure 2 | BMC Bioinformatics

Figure 2

From: CLEAN: CLustering Enrichment ANalysis

Figure 2

Comparison of clustering methods. We compared functional coherence of six clustering algorithms: Context specific infinite mixture model (CSIMM), Euclidian distance based and Pearson's correlation based hierarchical clustering with and without prior variance-rescaling of the data, across four independent human breast cancer datasets (GEO expression series GSE1456 [29], GSE3494 [28], GSE7390 [30], and GSE11121 [31]). For all six algorithms, the hierarchical clustering was constructed using the average linkage principle. The number of genes common in all four datasets after filtering was 6,150. CLEAN scores are plotted against the x-axis and the corresponding number of genes with the CLEAN greater than this are plotted against the y-axis. Higher areas under the curve imply the higher functional coherence.

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