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. 2013 Dec 13;7(Suppl 6):S9. doi: 10.1186/1752-0509-7-S6-S9

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Copyright © 2013 Sohn et al.; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Comparison of overall predictive power. The average prediction accuracy of the proposed integrative method is compared with those using each genomic feature type separately (A,B,C). Genes are first partitioned into 10 equal-sized bins according to their average expression levels, standard deviation, and the ratio of the two, respectively, and then the result is displayed as a function of these deciles. The number of genes in each bin having at least one genomic association is also displayed in D,E,F.