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. 2010 Aug 11;5(8):e12116. doi: 10.1371/journal.pone.0012116

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Tsuchiya et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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Distributions of (A) r_v and (B) I for ensembles of n randomly chosen genes from whole genomes (n = 10, 50, 100, 200, 500, 1000), estimated by Gaussian kernel with 100 repeats at a representative t = 48h (similar profiles are obtained for all time points), left panels for atRA and middle panels for DMSO response. Standard deviation of r_v and I distributions (right panels of (A) and (B)) at t = 48h decreases as n is increased, following a law, α≅1 for r_v and α≅0.3 for I. Note that this transition also occurred for all time points (data not shown).

Inline graphic — Distributions of (A) r_v and (B) I for ensembles of n randomly chosen genes from whole genomes (n = 10, 50, 100, 200, 500, 1000), estimated by Gaussian kernel with 100 repeats at a representative t = 48h (similar profiles are obtained for all time points), left panels for atRA and middle panels for DMSO response. Standard deviation of r_v and I distributions (right panels of (A) and (B)) at t = 48h decreases as n is increased, following a law, α≅1 for r_v and α≅0.3 for I. Note that this transition also occurred for all time points (data not shown).