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Figure 3 | BMC Bioinformatics

Figure 3

From: Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture models

Figure 3

Regression Results Th1. Results for mixtures of two regression models utilizing only histone modification data on Th1. Model 1 captures the expression of 2231 genes and model 2 of 3923 genes. Corresponding gene expression levels are shown by the vectors Y on the left (red and green indicate high and low expression, respectively). Association strengths of the regulatory signals for the corresponding promotes are indicated by matrices X (red and black indicate high and low association, respectively). Finally, the magnitude of the corresponding regression coefficients for each of the regulatory signals in each of the models is indicated by vector B (bright red for large positive and bright green for large negative values). In model 1, the amount of H3K4me3 correlates positively while the level of H3K27me3 correlates negatively with gene expression. In model 2, only H3K4me3 levels correlate with gene expression as H3K27me3 levels remain constant over the whole expression range.

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BMC Bioinformatics

ISSN: 1471-2105

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