Figure 3
From: Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
Global evaluation of clustering algorithms. Evaluation results for eight clustering algorithms and six microarray data sets based on the global answer set (employing 200 GO terms of functional interest and discarding ribosome biogenesis and assembly [37]). Performance has been measured using log2(TP) on the horizontal axis and log-likelihood score LLS = log2((TP/FP)/(P/N)) for P total positive pairs, N total negative pairs, and TP and FP the number of true and false positives at a particular recall threshold. A. Brem 2005. B. Gasch 2000. C. Haugen 2004. D. Hughes 2000. E. Primig 2000. F. Spellman 1998. G. All six data sets concatenated.