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The GO slim categories significantly overrepresented were calculated by a hyper geometric distribution with a cut-off level of P value at 0.05.
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Organ marker genes were compared to the composition of GOslim categories provided by the GOA database at EBI and tested for statistical over-representation using the hyper-geometric distribution.
Additional file 9: Table S6 contains data of GO Slim terms selected by >2-fold enrichment and a hyper geometric p-value of < 0.05.
Statistical analysis of the results was performed using a hyper geometric algorithm as described by Martin et al. [ 30] to determine whether there was an enrichment (over representation) of genes identified in this study when compared to the FRYG datasets.
To test if a given GO identifier is significantly more abundant in the population of regulated genes a hyper geometric distribution was used to calculate p-values.
A hyper geometric gene set enrichment test (GOstats package version 2.12.0) was performed based on the clusters identified in the APR or chronic stage response comparison.
The significance level of the enrichment for a GO term was determined by a hyper-geometric test (Fisher's Exact Test [ 43]).
For each GO term, we also evaluate whether it has significant overlap with each of the clusters by a hyper-geometric P-value, which is adjusted for multiple comparison by the Bonferroni correction.
In fact, this process can be modelled by a hyper-geometric distribution and the p-value can be calculated as follows: (5) p - value = ∑ i = N b min N B, N c N B i N - N B N c - i / N N c.
Third, the population of the copied base is decreased by the number of mutations to be made, and for each mutation the resulting mutated base is randomly selected to be one of the 3 other bases whose population increases by 1. Sonication: The 5% sampling bottleneck caused by sonication is represented by a hyper-geometric distribution (which describes the probability of k successes in n draws).
PSP calculates the P-value of each pathway category by using a hyper-geometric distribution method [ 31].
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