Additional file 8.

ScerTF motifs recovered by RED2, FIRE and MatrixREDUCE on the 24 S. cerevisiae datasets. For each method, this table provides the number of datasets in which each motif was recovered (at 15% FDR). For example, REDUCE correctly predicts AFT1 (first line) in one dataset. The last two lines give the total number of correct predictions (Total) and the number of distinct motifs recovered (Coverage). For example, for the 24 datasets, RED2 makes 177 correct predictions, which cover 43 distinct motifs in ScerTF.

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Lajoie et al. Genome Biology 2012 13:R109   doi:10.1186/gb-2012-13-11-r109