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Resolution: standard / high Figure 3.
Comparison with other CRM detection algorithms. (a-e) Receiver operating characteristic (ROC) curves for the leave-one-out cross-validation
using ModuleMiner, ModuleSearcher, CisModule, EMCMODULE, Clover, and random transcriptional
regulatory models for each of the five benchmark sets: ORegAnno Erythroid (panel a),
liver (panel b), muscle (panel c), ORegAnno Stat1 (panel d) and smooth muscle (panel
e). (f-i) ROC curves when using transcription factor binding site (TFBS) preservation (TFBS
set 2) in the genome ranking step for all algorithms, on the four benchmark sets that
performed above random: liver (panel f), muscle (panel g), ORegAnno Stat1 (panel h),
and smooth muscle (panel i). (j) ModuleMiner performance for the three TFBS sets on the muscle benchmark data. CRM,
cis-regulatory module.
Van Loo et al. Genome Biology 2008 9:R66 doi:10.1186/gb-2008-9-4-r66 |