Extending the ball-histogram method with continuous distributions and an application to prediction of DNA-binding proteins

We introduce a novel method for prediction of DNA-binding propensity of proteins which extends our recently introduced ball-histogram method (Szabóova et al. 2012). Unlike the original ball-histogram method, it allows handling of continuous properties of protein regions. In experiments on four datasets of proteins, we show that the method improves upon the original ball-histogram method as well as other existing methods in terms of predictive accuracy.