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Fig. 5 | BMC Genomics

Fig. 5

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

Fig. 5

TFs with the top/bottom 10th percentile importance scores in ChIP and Deletion data-based models. Heatmap of importance of TFs in ChIP (a) and Deletion (b) data-based models. Rows represent individual TFs and columns represent models of general cycling genes (cyclic) and genes cyclic at a phase (G1, S, S-G2, G2-M, and M-G1). Blue: TFs in the lower 10th percentile of importance. Red: TFs in the upper 10th percentile of importance. White: TFs with importance between the top and bottom 10th percentiles. Green: know cell-cycle regulators. Note the frequency of TFs which are important to multiple models and the lack of correspondence between the importance of genes in ChIP and Deletion models. Additionally, there are strong correlations between the number of phases as TF is important to (weighted by whether it is positive or negative feature) and both its importance rank for the general cyclic model (R2, ChIP = 0.66, Deletion = 0.63) and the average rank across phase models (R2, ChIP = 0.84, Deletion = 0.89). As such, TF which are positively associated with many phases are have high average rank and rank in the cyclic model and vice versa, meaning the cyclic model is, in general a good predictor of the strength and sign of features

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