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Fig. 4 | BMC Genomics

Fig. 4

From: Improved recovery of cell-cycle gene expression in Saccharomyces cerevisiae from regulatory interactions in multiple omics data

Fig. 4

Performance of classifiers using important TF-target and/or FFL features from ChIP, Deletion, and combined data sets. a AUC-ROC values for models of general cycling or each phase-specific expression set constructed using a subset of ChIP TF-target interactions, FFLs, or both that had the top or bottom 10th and 25th percentile of feature weight (see Methods). The reported AUC-ROC for each classifier is the average AUC-ROC of 100 runs (see Methods). b As in a except with Deletion data. In both cases, using the 25th percentile of both features yields the best performance. c As in a except with combined ChIP-chip and Deletion data and only the top and bottom 10th and 25th subsets were used. Purple outline: highlight performance of the top and bottom 25th percentile models. Yellow outline: improved G1-specific expression recovery by combining TF-target and FFL features. White texts: highest AUC-ROC(s) for general cycling genes or genes with peak expression in a specific phase. Note that the ChIP+Deletion model have the best performance for four of the six models

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