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. 2005 Sep 19;6(10):R88. doi: 10.1186/gb-2005-6-10-r88

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Copyright © 2005 Dettling 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.

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Comparison of CorScor and predictive modeling scores. Density plots for a comparison of the gap/substitution scoring function from correlation scoring defined in Equation (1) and predictive modeling (Equation (4)), as well as the on/off objective measures defined in Equations (2) and (5). Each panel is divided into a 50-×-50-cell grid. The darker the color of a cell, the more instances are therein. In the figure header, cor is the Pearson correlation coefficient between the CorScor and the respective predictive modeling scores.