Fig. 1
From: Cancer somatic mutations cluster in a subset of regulatory sites predicted from the ENCODE data
Building an expression model for CNN3 (ENST00000370206.4). a shows the mean squared error against the log (λ) LASSO penalty parameter with numbers above the graph indicating the number of predictive variables (non-zero coefficients) in the corresponding LASSO model. Dotted lines show possible choices of λ at minimum mean-squared error (λmin) and more conservatively at that value plus 1 standard error. This identifies models with 2 predictive variables as optimal. b shows the correlation between observed expression and predicted expression from the model. c and d show the correlation of DNaseI signal intensities and expression for the two candidate regulatory elements (CRRs) chosen by the LASSO method. e shows the correlation between DNaseI signal intensities and expression for an example rejected CRR. f shows the genomic location of the two chosen CRRs and one example rejected CRR