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2012 IEEE International Conference on Bioinformatics and Biomedicine (2012)
Philadelphia, PA, USA USA
Oct. 4, 2012 to Oct. 7, 2012
ISBN: 978-1-4673-2559-2
pp: 1-4
Ondrej Kuzelka , Department of Cybernetics, Czech Technical University in Prague, Prague, Czech Republic
Andrea Szaboova , Department of Cybernetics, Czech Technical University in Prague, Prague, Czech Republic
Filip Zelezny , Department of Cybernetics, Czech Technical University in Prague, Prague, Czech Republic
ABSTRACT
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.
INDEX TERMS
data mining, ONA-bmdmg proteins, machine learning
CITATION

O. Kuzelka, A. Szaboova and F. Zelezny, "Extending the ball-histogram method with continuous distributions and an application to prediction of DNA-binding proteins," 2012 IEEE International Conference on Bioinformatics and Biomedicine(BIBM), Philadelphia, PA, USA USA, 2012, pp. 1-4.
doi:10.1109/BIBM.2012.6392699
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