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Log–Log plot of Slopes m(d) of Linear Regression Fit to the Rate of Growth in Figure 2 for Different Values of Cluster Size d

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posted on 2013-02-21, 12:52 authored by Shibu Yooseph, Granger Sutton, Douglas B Rusch, Aaron L Halpern, Shannon J Williamson, Karin Remington, Jonathan A Eisen, Karla B Heidelberg, Gerard Manning, Weizhong Li, Lukasz Jaroszewski, Piotr Cieplak, Christopher S Miller, Huiying Li, Susan T Mashiyama, Marcin P Joachimiak, Christopher van Belle, John-Marc Chandonia, David A Soergel, Yufeng Zhai, Kannan Natarajan, Shaun Lee, Benjamin J Raphael, Vineet Bafna, Robert Friedman, Steven E Brenner, Adam Godzik, David Eisenberg, Jack E Dixon, Susan S Taylor, Robert L Strausberg, Marvin Frazier, J. Craig Venter

According to the equation derived in the text, m(d) = md1−β for some constant m. The best linear fit to log [m(d)] gives a line with slope −0.91 (R2 = 0.98) that is close to the predicted value 1 − β = −0.99.

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