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. 2007 Apr 19;8:105. doi: 10.1186/1471-2164-8-105

Figure 3.

Figure 3

Estimates of the null p-value quartiles vary as a function of signal intensity for datasets 10a (a, b) and 10e (c, d); although less so for the re-loessed data. The x-axes correspond to the rankit (i.e., rank of valuetotal#of values+1 MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaadaWcaaqaaiabbkhaYjabbggaHjabb6gaUjabbUgaRjabbccaGiabb+gaVjabbAgaMjabbccaGiabbAha2jabbggaHjabbYgaSjabbwha1jabbwgaLbqaaiabbsha0jabb+gaVjabbsha0jabbggaHjabbYgaSjabcocaJiabb+gaVjabbAgaMjabbccaGiabbAha2jabbggaHjabbYgaSjabbwha1jabbwgaLjabbohaZjabgUcaRiabigdaXaaaaaa@52A7@) of the log of the product of the expression means. The y-axes correspond the observed two-sided p-values. Solid and dashed grey lines indicate the theoretical medians and quartiles, respectively. The null p-values were modeled as a function of a 4th order polynomial for rankit intensity. Black and red lines correspond to the quantile regression fits for τ = 0.5 (solid) and τ = 0.25, 0.75 (dashed). Portions of this figure appear with permission in the response to [2].