J.P.Townsend, D.L.Hartl,
To assign P-values to differences in male vs. female gene expression in the
The P-values can generally be interpreted as the probability of a type 1 error.
In this case, the probability that there is no difference in expression level between males and females.
However, there are two important things to note:
To get around these problems, we randomly re-sampled the data in each data set and repeated the BAGEL analysis.
This allowed us to estimate the False Discovery Rate (FDR) corresponding to a particular P-value for each data set. |
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D.melanogaster |
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Data set |
p-value (FDR 10%) |
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Ranz(2003) | 0.0250 | |||

Parisi(2004)[testes/ovaries] | 0.0150 | |||

Parisi(2004)[male/female] | 0.0425 | |||

Parisi(2004)[gonadectomized] | 0.0500 | |||

Gibson(2004)[Ore-R] | 0.0350 | |||

Gibson(2004)[2b] | 0.0250 | |||

Gibson(2004)[Ore-R + 2b] | 0.0225 | |||

McIntyre[Ore-R] | 0.0250 | |||

McIntyre[2b] | 0.0200 | |||

McIntyre[Ore-R + 2b] | 0.0300 | |||

Goldman(2007) | 0.0200 | |||

Meta-analysis(v2.0; 2009) | 0.0265 | |||

Innocenti(2010) | 0.0090 | |||

Wyman(2010) | 0.025 | |||

Meta-analysis(v3.0; 2011) | 0.010 | |||

D.simulans |
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Data set |
p-value (FDR 10%) |
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Ranz(2003) | 0.0375 | |||

Note: In Sebida, a P-value of '0' indicates that P < 0.0001. If the field is blank, that means that not enough data were available for a P-value calculation. | ||||