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Exact(15)
On one hand, we found that significant overlaps for 97.4% split tests of TRMs_100 and for 100% split tests of TRMs_200 – 1000, whereas approximately 10 30% split tests of TRGs_100-1000 did not exhibit a significant overlap (significance was evaluated by the Fisher's exact test, P < =0.05).
The number of overlapping segments between each pair of CNVR sets was computed and the overlap significance was evaluated with a permutation test [ 37].
Overlap significance was measured using Fisher's exact test.
(Details of overlap significance test for modules can be found in Section S3 of Supplementary material).
We computed the overlap significance for each list using a hypergeometric test (one-tailed).
Overlap significance was represented by a p-value computed with the normal distribution.
Similar(45)
Overlapping significance was monitored by exact Fisher test.
The similarity measures used in this procedure were hyper geometric p-value measuring overlapping significance (p-value < 0.01) and Tanimoto coefficient (ration of common bits to union bits > 0.75).
The consideration of the overlap of significance P-values and sign of the estimates is critical to understanding this scenario.
The morphometric signal in body and paramere shape, i.e. the resulting principal component axes (Additional file 5) explaining most of the variation in the respective traits (see Results), was investigated independently for potential overlap and significance between infraspecific and interspecific variation using MANOVA and Canonical Variate Analysis in PAST [ 47].
This is a very high overlap, with a significance p-value of less than 10-99 when compared to a chance overlap with an equal number of random protein pairs.
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